Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal

📊 Methods of Applied Statistics Course Textbook Repository

To know stats by heart

Migrated to Tungsteno https://github.com/TungstenHub

📈 Machine Learning from the perspective of a Statistician using R

HarvardX: PH125.3x | Data Science: Probability

A modern and portable SOCR web-app that demonstrates the concepts of statistical analysis such as resampling, randomization and probabilistic simulation.

This is based on my experience of how to prepare data science interviews.

Formative research work of the course Introduction to statistics and probabilities.

A Binomial Distribution Calculator with useful charts

Compiled to: https://github.com/shams-sam/shams-sam.github.io

Selected Questions and Answers for Quant Interviews

Discrete Probability Detector (DPD) application uses an algorithm that transforms any sequence of symbols into a transition matrix. It is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in JavaScript.

The DAND Program is a course that helps to learn how to wangle, analyze and visualize data using Python and its libraries.

Resolução da primeira prova da disciplina Probabilidade (IMD0033, T02, 2018.1)

Part of Udacity's Data Analyst Nanodegree, A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.

Collection of Data Analysis exercises using R and statistics / probability theory.

A desmos-powered calculator for performing calculations with distributions in statistics