manishgodse Goto Github PK

002_machinelearning_ebook

100daysofmlcode

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

applied-social-network-analysis-in-python-university-of-michigan

Applied Social Network Analysis in Python by University of Michigan on Coursera

aureliengeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

bank_data_analysis

A real-world data mining problem

bigdata

book-data-preprocessing-python

Data Preprocessing with Python

books

Collection of Programming, Databases, Linux & Tools Books

btgitdoc

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

computer-vision

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain a high-level understanding of digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. In this Computer Vision Repository, I have upload five projects Related to Computer vision which I have done.

data

data-mining-samples

data mining algorithms implementation with R

datasciencecoursera

Repository for Data Science Course on Coursera

datasharing

The Leek group guide to data sharing

deep-learning

In this repository, I upload my Complete Deep Learning code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. I have covered both Supervised and Unsupervised Deep Learning Algorithms with Practical Implementation.

deep-learning-books

deep-learning-with-tensorflow

Deep Learning with TensorFlow by Packt

docbank

DocBank: A Benchmark Dataset for Document Layout Analysis

edgar-reports-text-analysis

Data from EDGAR filling was extracted and text analysis was performed.

english-words-pronunciation-mp3-audio-download

Download the pronunciation mp3 audio for 119,376 unique English words/terms

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

getting-and-cleaning-data_project

Project for Getting and cleaning data

gmat

httr

httr: a friendly http package for R

interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

introductory_time_series_with_r_datasets

isl

Ipython notebooks for figures and exercises from An Introduction to Statistical Learning

itmd527

ITMD - 527 Data Analytics