Tahmina Shoaib Malik's repositories
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Basic_Statistics_With_Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
BDA_py_demos
Bayesian Data Analysis demos for Python
business-analytics-and-mathematics-python-book
Advanced Business Analytics and Mathematics with Python (by @firmai)
data-science-blogs
A curated list of data science blogs
DataCamp
DataCamp data-science courses
excel-to-python-course
Student materials and handouts for Excel to Python course
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Machine-Learning
A general understanding of Statistics Basics, Different tests with Different Python Libraries
Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science
Repository For Codes And Concept Taught in Udemy Course
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
MMiDS-s20
Course website for MATH 535: Mathematical Methods in Data Science (Spring 2020)
pakistan_census
Extracting, cleaning, and analyzing data from Pakistan's 2017 census
Probability_Theory
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
stanford-cme-102-ordinary-differential-equations
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
statsmodels
Statsmodels: statistical modeling and econometrics in Python
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Tutorials
Code for some of my tutorials