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book-resources

books

Awesome Books

books-ml-and-dl

.pdf Format Books for Machine and Deep Learning

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

browser-based-models-with-tensorflowjs

You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. deeplearning.ai certificate : https://www.coursera.org/account/accomplishments/records/BURZEBYF8K3A

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

caffe

Caffe: a fast open framework for deep learning.

caffo-coursera

A repository of my Coursera latex code and notes

car-finding-lane-lines

Finding Lane Lines using Python and OpenCV

car-recognition

Car Recognition with Deep Learning

casestudy-wqu-hypothesistesting

Using Student's T-test check if mean daily return is 0

casestudy-wqu-impliedvolatility

Calculate Implied Volatility using Newton's method

casestudy-wqu-indexreplication

Check how many stocks (and which) are required to replicate an Index

casestudy-wqu-investinginindex

WQU case study which analyses returns on SP500 and Nasdaq Indices from 2015 to 2017. Linear Regression analysis. Normality test

casestudy-wqu-investmentfundanalysis

Theoretical Calculations

casestudy-wqu-linearregressionsimple

Simple Linear Regression is used to analyse significance of alpha and beta coefficients (for stock returns time series)

casestudy-wqu-monte_carlo_integration

Monte Carlo Integration and Markov Chains. Theoretical

casestudy-wqu-pm1

Combine stocks in portfolios and show that it is possible to achieve the same returns with much lower risk

casestudy-wqu-stockpriceforecast

Forcast a stock price using random walk equation with parameter from normal and uniform distribution. Compare these 2 cases

causalml

Uplift modeling and causal inference with machine learning algorithms

channels

📺 A collection of useful YouTube channels for javascript developers and web designers

cheat_sheets

A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.

cheat_sheets_of_python_libraries

This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clinthoward.github.io

My data analysis blog

cnn-benchmarks

Benchmarks for popular CNN models

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

complete-life-cycle-of-a-data-science-project

Complete-Life-Cycle-of-a-Data-Science-Project