MafikengZ/NLP-Tweet-Sentiment-Analysis

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Created about 3 years ago
Updated about 3 years ago

MafikengZ/NLP-Tweet-Sentiment-Analysis

MafikengZ

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a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data.

Distributions

Calculates and visualize Probability Density Function

Competitor-Analysis

Statically Measure content egagement from followers

Jupyter Notebook

NLP-Tweet-Sentiment-Ananlysis

Build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data

Jupyter Notebook

Unsupervised-Learning-Recommender-Systems

Build a recommendation engine to improve personalised user experience and drive economic benefits

Jupyter Notebook

Wethinkcode-Bootcamp-2020

Explore-Data-Science-Academy

course related project

Jupyter Notebook

Eskom-Data-Analysis

Analysis of energy generated by diffrent power stations

Data-Analysts-Assesment

Iris-Classification-API

Flask API for Deploying Machine Learning models

Hackathon-Language-Identification

Language classification problem: which identifies South Africa's 11 official Languages through text data

Jupyter Notebook

Load-shortfall-regression-model-api.

Flask-API for serving the Regression model that predicts the load shortfall in renewable energy

Jupyter Notebook

Store-Analysis

Circles

Circle - Booking management application.

Machine-Learning-Advanced-Regression

This project is focused on building an Advanced Linear Regression model measuring the load-shortfall-3h in Spain

Jupyter Notebook