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Algorithm
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Django
Machine Learning (ML)
Python
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$34 USD / ώρα
Σημαία της FRANCE
saint-etienne, france
$34 USD / ώρα
Τώρα είναι 8:09 π.μ. εδώ
Έγινε μέλος Αυγούστου 20, 2018
3 Recommendations

Kenneth Ifeanyi E.

@kingCzar

 4,9 (8 αξιολογήσεις)
5,3
5,3
84%
84%
$34 USD / ώρα
Σημαία της FRANCE
saint-etienne, france
$34 USD / ώρα
100%
Ολοκληρωμένες Δουλειές
100%
Εντός Προϋπολογισμού
100%
Εντός Χρόνου
6%
Βαθμός Επανάληψης Πρόσληψης

Data Scientist | Deep/Machine Learning | NLP

Expert Data scientist with experience in Deep Learning, machine learning and Natural language processing. My expertise ranges from Predictive and Forecasting Modeling, Statistics, Descriptive Modeling, Deep Learning, Image Classification/Recognition, Object/Anomaly detection, to Recommender System and AI applications. • Machine Learning Algorithms Regression - Univariant/Multivariant/Ridge/Lasso/Tree Based Regression Classification - Naive Bayes/SVM/Random Forest/ Decision Trees/ Boosted Models (GBM/Adaboost/XGboost/LightGBM(Microsoft)) Clustering- K Means/ hierarchical/LDA • Data Mining Apriori • Eclat • DFS • Natural Language Processing(NLP): NLTK • TF-IDF • POS tagging • word2vec • GENISM •Deep Learning: ANN•CNN•RNN •LSTM using Keras and Tensor Flow Bkend. •Statistics ML Probabilities • Regression • Principal •Component Analysis Deep Learning
Freelancer Python Developers France
Προβολή όλων Python Developers σε France

Επικοινώνησε με τον/την Kenneth Ifeanyi E. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Πορτφόλιο

5184337
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
4946160
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
4912794
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
4912785
Again, one of my first projects on freelancer highly successful. The application is a web app that uses rest API based on django. The database is hosted on heroku for the client but the link can not be shared.
POSTGRE DATA MANAGEMENT DJANGO APPLICATION USING REST API
Again, one of my first projects on freelancer highly successful. The application is a web app that uses rest API based on django. The database is hosted on heroku for the client but the link can not be shared.
POSTGRE DATA MANAGEMENT DJANGO APPLICATION USING REST API
4912778
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
4912766
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
5184337
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
Complex algorithm capable of predicting signals as well as backups Recommendation system. Supports Stocks/Commodities/FX/Indices etc. Algorithm scans market at certain time intervals to signal which markets are tradeable giving initial stoploss and take profits. Stoploss is dynamically shifted as market scenerio changes.
AI Automated Signal Generator Stocks/Commodities/FX/Indices
4946160
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
Project implements machine learning model for natural language processing. Visualization is done with Plotly Dash for the client. Dynamically hover over data point to display book meta data, book title, year and author name just below the chart. Plus it displays dynamically a barchart to see the frequency of word in the book after some initial preprocessing. Clustering of book similarity. Finally, project is hosted live on heroku.
NLP PROBLEM ON BOOK INSIGHT EXPLORATION USING PLOTLY DASH
4912794
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
A saudi based client requesting to understand the trend in a housing dataset, possibly to extract meaning on how, when, and where to invest. Given two housing dataset, i proceeded to exploring the structure of the data by answering some fundamental questions. Thereafter, exploying the use of advance machine learning concept to understand how price fluctuation happens. Finding correlations in feature vectors. exploring which factors affected price more and how to model it all to make profit. On the same project, i used synthetic variables to help model the data even better, then used a machine learning model to get the best parameters for training our data before prediction. use of simple and exponential moving averages to check how price fluctuations happens etc.
DATA MINING AND INSIGHT EXPLORATION
4912785
Again, one of my first projects on freelancer highly successful. The application is a web app that uses rest API based on django. The database is hosted on heroku for the client but the link can not be shared.
POSTGRE DATA MANAGEMENT DJANGO APPLICATION USING REST API
Again, one of my first projects on freelancer highly successful. The application is a web app that uses rest API based on django. The database is hosted on heroku for the client but the link can not be shared.
POSTGRE DATA MANAGEMENT DJANGO APPLICATION USING REST API
4912778
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
Python Django web based application that implement a general algorithm in check word occurence. The same algo can be used in checking DNA strings alignment. It is hosted live on heroku. To use it you will have to navigate to my git repo to find its hosting link.
ALPHABET SOUP ALGORITHM
4912766
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING
This process was also a highly successful project as mentioned by the client. We successfully clustered a set of unlabeled data generated by a production machine to detect if it has a problem or not. Data preprocessing, optimum cluster analysis, clustering with kmeans and hierarchical method mark the highlights of the project. Finally visualization shows output just as expected.
HIGH DIMENSIONAL DATA CLUSTERING

Αξιολογήσεις

Οι αλλαγές αποθηκεύτηκαν
Προβολή 1 - 5 από 8 αξιολογήσεις
 Φιλτράρισμα αξιολογήσεων ανά:
5,0
€1.488,00 EUR
NLP with Python 3: Topic visualisation in interactive charts
The job exceeded my expectation. Kenneth was really helpful and deployed all in production better than I expected.
Python
Machine Learning (ML)
Data Mining
Avatar Χρήστη
Σημαία της Milos K.
@miloskrissak
•
5 χρόνια πριν
5,0
$1.166,00 USD
Data mining
Professional and amazing and he means what he says. I like working with him and will work again
Data Mining
Data Science
Data Analytics
Data Cleansing
Data Visualization
S
Σημαία της Moosa R.
@Saudi00Style
•
5 χρόνια πριν
5,0
$135,00 USD
Project 18759569 has been deleted
Excellent support has an understanding of the subject and the problem he is trying to solve. Exceptional technical skills when mapping the theoretical knowledge to technical aspects, will definitely suggest for complex research projects
S
Σημαία της Iron M.
@saurabhmalgaonka
•
5 χρόνια πριν
5,0
$277,00 USD
Get a TensorFlow RNN example running for my preferred dataset
Good communicator
Python
Tensorflow
M
Σημαία της Eric C.
@Murigaz
•
5 χρόνια πριν
2,6
$30,00 USD
Download, Scale, rename 1,427 pictures - done by scripting
Freelancer has the worst attitude I have seen here in 7 years as client. 'Forget' to send me the file and went ballistic. Stay away if you want to keep your sanity.
PHP
Python
Image Processing
Bash Scripting
Avatar Χρήστη
Σημαία της Thorsten J.
@highman1234
•
5 χρόνια πριν

Εμπειρία

Machine Learning and Data Mining

Woelfel Engineering GmBh
Απρ 2018 - Τρέχουσα
Data Analysis Machine Learning and Data Mining Neural Network Convolutional Neural Network Recurrent Neural Network MNIST LSTM

Django Developer

Woelfel Engineering GmBh
Απρ 2018 - Τρέχουσα
Django and Flask Developer Database Management Linus Server deployment

python Developer

Woelfel Engineering GmBh
Απρ 2018 - Τρέχουσα
Python Developer and Data Analyst Algorithm Design Python Library Coder

Εκπαίδευση

Machine Learning and Data Mining

Université Jean Monnet Saint-Etienne, France 2018
(Λιγότερο από ένα χρόνο)

Computer Application

India 2014 - 2017
(3 χρόνια)

Προσόντα

Python Developer

University Jean MOnnet
2018
Algorithm Design and Implementation Blockchain

Bokeh Developer

Udemy
2018
Bokeh Application development and deployment Data Visualization

Software Engineering

Apollo Computer Institute
2015
C | C++ | C# .NET | Core and Advanced Java

Επικοινώνησε με τον/την Kenneth Ifeanyi E. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Επαληθεύσεις

Προτιμώμενος Freelancer
Η Ταυτότητα Επαληθεύτηκε
Επαληθευμένη Πληρωμή
Το Τηλέφωνο Επαληθεύτηκε
Το Email Επαληθεύτηκε
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