Alvin-Nahabwe

Machine Learning and Deep Learning engineer using Tensorflow, Keras, Sckit-Learn

Kampala, Uganda

Pinned Repositories

cv-assignment
Msc Computer Science - Computer Vision Exam
Language:Jupyter Notebook00
data-exploration
Exploring indicators of economic development using data provided by the world bank.
Language:HTML01
holiday-image-classification
HackerEarth Deep Learning Holiday Season Challenge
Language:Jupyter Notebook0 2 00
NLP-with-disaster-tweets
My solution for the Kaggle NLP with Disaster Tweets competition https://www.kaggle.com/c/nlp-getting-started/overview. Final model used - Kernel SVM (69% accuracy). Kaggle score - 79
Language:Jupyter Notebook00
py-googletrans
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
Language:Python0 1 00
titanic
Predicting survival on the titanic using classification. From the Kaggle competition. Feature engineering (cleantitanic.py) from https://triangleinequality.wordpress.com/2013/09/08/basic-feature-engineering-with-the-titanic-data/
Language:Jupyter Notebook00
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Language:Python00
twitter-sentiment-analysis
Analysis and classification of tweets using Naive Bayes Classifier from Natural Language Toolkit
Language:Jupyter Notebook10
aimodel
Language:Jupyter Notebook00

Alvin-Nahabwe/twitter-sentiment-analysis
Analysis and classification of tweets using Naive Bayes Classifier from Natural Language Toolkit
Language:Jupyter Notebook10
Alvin-Nahabwe/cv-assignment
Msc Computer Science - Computer Vision Exam
Language:Jupyter Notebook00
Alvin-Nahabwe/data-exploration
Exploring indicators of economic development using data provided by the world bank.
Language:HTML01
Alvin-Nahabwe/holiday-image-classification
HackerEarth Deep Learning Holiday Season Challenge
Language:Jupyter Notebook0 2 00
Alvin-Nahabwe/NLP-with-disaster-tweets
My solution for the Kaggle NLP with Disaster Tweets competition https://www.kaggle.com/c/nlp-getting-started/overview. Final model used - Kernel SVM (69% accuracy). Kaggle score - 79
Language:Jupyter Notebook00
Alvin-Nahabwe/py-googletrans
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
Language:Python0 1 00
Alvin-Nahabwe/titanic
Predicting survival on the titanic using classification. From the Kaggle competition. Feature engineering (cleantitanic.py) from https://triangleinequality.wordpress.com/2013/09/08/basic-feature-engineering-with-the-titanic-data/
Language:Jupyter Notebook00
Alvin-Nahabwe/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Language:Python00