Micro Projects

This repository contains DataScience, Machine Learning, NLP, NeuralNet and RL related Micro Projects & Tasks completed/ongoing during academic and self-learning period.

Contents

• Machine Learning

  • ML - CO2 Emission Prediction: This project tries to identify the macroeconomic factors that are biggest predictors of global warming i.e. global carbon dioxide emissions using Lasso Regularization Regression.

  • ML - SMS Classifier: This project classifies the SMS as spam vs non-spam through naive bayes.

  • ML - Telecom Churn Prediction: This project tries to identify the main indicators of churn and predict the customers at high risk of churn through logistic regression.

  Tools: scikit-learn, Pandas, Numpy, Seaborn, Matplotlib

• Exploratory Data Analysis

  • EDA - Australian Road Fatalities: I have analysed the Road Accidents data to answer questions over the Road Fatalities over years.

  • EDA - Global Happiness Index: I have explored, visualised, and interpreted global happiness scores over the period 2015—2019.

  • EDA - Volcanoes of the Holocene: EDA is performed to understand the volcanoes that have erupted in the last 10,000 years.

  • EDA - World Development Indicators: In this project I have deployed the Plotly Dash App on Heroku, which provides UI for Exploratory Data Analysis to understand the interactions between different indicators. The app can be found at Hello World App.

  • EDA - Olympics Data Analysis: In this project I have performed an Exploratory Data Analysis (EDA) to find the top performing countries in Olympics.

  Tools: Pandas, Seaborn, Plotly, Dash, Matplotlib, SAS, SG Procedures