/Winter-Internship-Internity

Repository to keep track of work assigned on a daily basis

Primary LanguageJupyter Notebook

Winter-Internship-Internity

Repository to keep track of work assigned on a daily basis

Profiles

Medium | Stack Overflow

Articles on Medium

Day 01: ML Introduction

A Beginner’s Guide for Getting Started with Machine Learning (Published on Analytics Vidhya)

Day 02: Numpy

Getting Familiar with Numpy (Published on Analytics Vidhya)

Day 03: Pandas

Statistical Analysis in Python using Pandas (Published on Analytics Vidhya)

Day 04: Matplotlib & Seaborn

Data Visualization using Python Part-I (Published on Analytics Vidhya)

Data Visualization using Python Part-II (Published on Analytics Vidhya)

Day 05: OpenCV

Computer Vision and Image Processing with OpenCV (Published on Analytics Vidhya)

Day 06: Mathematics and Statistics behind ML

Mathematics for Machine Learning Part-1 (Published on Data Driven Investor)

Mathematics for Machine Learning Part-2 (Published on Data Driven Investor)

Mathematics for Machine Learning Part-3 (Published on Data Driven Investor)

Mathematics for Machine Learning Part-4 (Published on Data Driven Investor)

Mathematics for Machine Learning Part-5 (Published on Data Driven Investor)

Day 07: Linear Regression

Everything You Need to Know About Linear Regression (Published on Analytics Vidhya)

House Price Prediction using Linear Regression from Scratch (Published on Analytics Vidhya)

Day 08: KNN

A Beginner’s Guide to KNN and MNIST Handwritten Digits Recognition using KNN from Scratch (Published on Analytics Vidhya)

Celebrity Face Recognition using KNN from Scratch (Published on Analytics Vidhya)

Face Detection and Recognition using OpenCV and KNN from Scratch (Published on Analytics Vidhya)

Day 09: Decision Tree and Random Forest

Decision Trees for Dummies (Published on Analytics Vidhya)

Random Forest: Simplified (Published on Analytics Vidhya)

Decision Tree from Scratch (Published on The Startup)

Random Forest from Scratch (Published on Python in Plain English)

Day 10: Logistic Regression

A Comprehensive Guide to Logistic Regression (Published on Analytics Vidhya)

Logistic Regression from Scratch (Published on The Startup)

Day 11: K-means Clustering & Image Segmentation

Everything you need to know about K-Means Clustering (Published on Analytics Vidhya)

Extracting Dominant Colours from an Image using K-means Clustering from Scratch (Published on Analytics Vidhya)

Image Segmentation using K-means Clustering from Scratch (Published on Analytics Vidhya)

Crime Data Pattern Analysis and Visualization using K-means Clustering (Published on Analytics Vidhya)

Day 12: SVM

A Beginner's Introduction to SVM (Published on Analytics Vidhya)

SVM from Scratch (Published on The Startup)

Day 13: Naive Bayes

A Machine Learning Roadmap to Naive Bayes (Published on Analytics Vidhya)

Naive Bayes from Scratch (Published on The Startup)