Prototype basic models on top of publicly available datasets.

Classification

• Binary Classification model on Breast Cancer Dataset [Source]
• Classifier for Digit Recognition [Source]
• Iris Classifier [Source]
• Regression Model on PIMA-Indians Dataset [Source]
• Notebook on Pipeline classification [Source]

Forecasting

• Using Housing data to predict future house prices - Using Lasso and XGBoost (Ongoing) [Source]
• Using Titanic data to evaluate different Machine Learning models [Source]
• Sales Forecasting using Facebook Prophet Library [Source]

Geographical Modelling

• Species Distribution Modelling [Source]

Python Visualisation

• Global Terrorism Dataset [Source]
• Lego Purchase Dataset [Source]
• MPG Auto Dataset [Source]
• Visualisation on Raw Image [Source]
• Time Series Visualisation [Source]
• 2-D Visualisation [Source]
• Univariate & Bivariate Distribution [Source]
• Archive degree conferred to women [Source]
• Carbon Emission Intesity in United Kingdom [Source]
• Word Cloud Visualizations [Source]

R Visualisation

• Gapminder Dataset [Source]

Regression

• Building Prediction model with Tensorflow on Housing Predictions dataset [Source]
• Building LR Model using Lasso & Ridge [Source]
• Buiding Regression pipeline on Gapminder dataset [Source]

Sentiment Analyis

Unsupervised Learning

• Hierarchical clustering on Eurovision contest [Source]
• Exploring word frequencies [Source]
• KMeans clustering on 2D points [Source]
• KMeans clustering on fish measurements dataset [Source]
• KMeans clustering on grains dataset [Source]
• KMeans clustering on Stocks dataset [Source]

---

ReadMe last updated on

April 17, 2018

---