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ai8x-training

Model Training for Maxim AI Devices

causalimpact

An R package for causal inference in time series

chicago-crimes-data-analysis

This repository contains an end-to-end Data Engineering and Analysis project focusing on the crimes data from the city of Chicago. The project includes data loading, manipulation, and visualization using various technologies such as HDFS, Hive, Python, and HTML. Below is a summary of the project's key tasks:

cohort-analysis

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

coppelia_robotics

covid-19-data-modelling-and-analysis-

Merged multiple COVID-19 datasets including clinical trials intervention and race ethnicity data, developed an end-to-end process in relational database, analyzed data and build a case for to maximize effectiveness of vaccine strategy.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

exploring-chicago-crime-data-using-pyspark

This repository contains an Exploratory Data Analysis (EDA) project using PySpark on the Chicago Crimes dataset. The project involves various data exploration and analysis tasks, as well as the integration of COVID-19 data for a comprehensive analysis of crime trends.

github-slideshow

A robot powered training repository :robot:

hands-on-data-science-for-marketing

Hands-On Data Science for Marketing, published by Packt

hands-on-feature-engineering-with-python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

jupyter

Jupyter metapackage for installation, docs and chat

machine-learning-algorithms

This repository hosts a collection of machine learning algorithms, including various techniques and models for solving different types of problems, covering a wide range of ML tasks, from regression to advanced sequence processing.

mlbootcamp-24

All the resources used for teaching in ML Bootcamp Batch 2024.

pca

Exploring basics of principal component analysis

programmingforanalytics

Course material for an intro to programming class for analytics students

python

resume

Simple one-page software engineer resume template in LaTeX

samanthacodes.github.io

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning