Kundan Kumar's Projects
Python Data Cleaning Cookbook, published by Packt
Repository for the course of Udemy: Python & Django Full Stack Web Developer Bootcam
Hands-On Docker for Microservices with Python, published by Packt
Python Data Science Handbook: full text in Jupyter Notebooks
Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Code to compute permutation and drop-column importances in Python scikit-learn models
A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
Reinforcement Learning Master Course | Coding Blocks Online
Slides, examples, exercises and answers for my open source workshop on API testing in Python using requests
Scipy Cookbook
A really clean and minimal Jekyll theme. ♥
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spark Projects for the Berkeley Data Science Course
Basic soft-margin kernel SVM implementation in Python
This is an implementation of Convolutional AutoEncoder using only TensorFlow
Code for the TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | Edureka (https://www.youtube.com/watch?v=yX8KuPZCAMo) with small corrections and additions of missing parts by Claude COULOMBE - PhD candidate TÉLUQ / UQAM - Montréal
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
A collection of small tkinter apps made by me
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Udacity Full Stack Web Developer Nanodegree program (FSND) course materials
Unsupervised machine learning algorithm. Classical and kernel methods for non-linearly seperable data.
🏆 A ranked list of awesome python libraries for web development. Updated weekly.
A Full Stack website allowing users to manage a common dataset documenting Bristol Graffiti Art. This project utilizes the Flask, Jinja, Python, JavaScript, MongoDB & MD Bootstrap technologies.
It contains all the files I created during the MERN full stack web development course with coding ninjas
⚡️ Express inspired web framework written in Go