sudarshan1413

100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100DaysOfMLCode

av_seers_accuracy

This repository contains my Python code for Analytics Vidhya Seers Accuracy Contest

machine_learning_from_scratch

A place to hold various "from scratch" machine learning algorithms developed in Python as pedagogical tools.

MIT_Deep_Learning

Contents for MIT Deep Learning Workshop

ML_Notebooks

This repo contains all my Machine Leaning Notebooks used in different Meetups/Conferences/Talks etc

Must-Read-Articles-Before-Interview-for-Data-Scientist

python_pandas_meetup_2016

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

sudarshan1413/ML_Notebooks

This repo contains all my Machine Leaning Notebooks used in different Meetups/Conferences/Talks etc

sudarshan1413/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

sudarshan1413/MIT_Deep_Learning

Contents for MIT Deep Learning Workshop

sudarshan1413/Must-Read-Articles-Before-Interview-for-Data-Scientist

sudarshan1413/100DaysOfMLCode

sudarshan1413/Applied-Deep-Learning-with-Keras

Deep Learning examples with Keras.

sudarshan1413/art_of_data_visualization

The art of effective visualization of multi-dimensional data

sudarshan1413/Automation

sudarshan1413/awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

sudarshan1413/awesome-project-ideas

Curated list of Machine Learning, NLP, Vision Project Ideas

sudarshan1413/azurepoc

sudarshan1413/Data-Analysis

Data Analysis Using Python

sudarshan1413/Deep-Learning-Book-Chapter-Summaries

Attempting to make the Deep Learning Book easier to understand.

sudarshan1413/DevopsBasics

sudarshan1413/Dual-Axis-Illusion

Best Illusion of The Year 2019 - First Place Winner

sudarshan1413/featexp

Feature exploration for supervised learning

sudarshan1413/feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

sudarshan1413/Flatris-LAB

sudarshan1413/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

sudarshan1413/Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

sudarshan1413/learningPySpark

Code base for the Learning PySpark book (in preparation)

sudarshan1413/Machine-Learning-Links-And-Lessons-Learned

List of all the lessons learned, best practices, and links from my time studying machine learning

sudarshan1413/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

sudarshan1413/open-images-dataset

Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

sudarshan1413/practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

sudarshan1413/practicalAI

📚 A practical approach to machine learning.

sudarshan1413/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sudarshan1413/reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

sudarshan1413/SITM

SITM Workshop

sudarshan1413/vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.