DALEE9000 / Solutions-to-Introductory-Probability-and-Statistical-Applications-2nd-ed.-Paul-L.-Meyer
My solutions to Paul L. Meyer's "Introductory Probability and Statistical Applications, 2nd ed.", ISBN 0-201-04710-1.
☆17Updated last year
Alternatives and similar repositories for Solutions-to-Introductory-Probability-and-Statistical-Applications-2nd-ed.-Paul-L.-Meyer:
Users that are interested in Solutions-to-Introductory-Probability-and-Statistical-Applications-2nd-ed.-Paul-L.-Meyer are comparing it to the libraries listed below
- Roadmap for 50 placement points☆19Updated last year
- This repo includes the solutions for Lab assignments of Modern App Development-1 subject of IITM BS Online Degree☆20Updated 2 months ago
- ☆10Updated last year
- Here you will see all the resources I use throughout my journey of understanding machine learning.☆49Updated 8 months ago
- Research programs for Undergraduate students☆647Updated this week
- Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer☆1,090Updated last year
- Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/☆669Updated 3 months ago
- Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes☆566Updated last year
- A step-by-step guide for everyone in getting started their open-source journey.☆217Updated 2 weeks ago
- A Repository consisting resources primarily of the Gate DA and AI☆864Updated 2 weeks ago
- This respository having all my notes of Machine learning specialization course by Deep learning.ai☆95Updated 7 months ago
- The program intends to accustom the participants to learn the process of research in applied (medical AI. The program has been naturally …☆39Updated last month
- A bot that downloads all the necessary files from WeLearn and lists your assignments, filter due assignments, etc.☆24Updated last year
- Coursera - Mathematics for Machine Learning and Data Science Specialization - DeepLearning.ai☆24Updated last year
- Notebooks for the DLP course by Prof.Mitesh Khapra and me, offered to IITM BS Students.☆18Updated 3 months ago
- ☆2,479Updated 3 months ago
- Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science☆3,846Updated 3 months ago
- ☆9Updated 6 months ago
- A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.☆665Updated last year
- This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.☆78Updated last year
- Writing clean and optimized Python code☆545Updated 3 weeks ago
- A collection of awesome mathematics and computer science courses☆114Updated last month
- Machine learning in Python with scikit-learn MOOC☆1,163Updated 3 weeks ago
- ☆29Updated last month
- Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng☆321Updated 4 years ago
- Collection of Question Papers for various courses [UG2k22 IIIT-Hyderabad]☆32Updated last month
- ☆14Updated last year
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,097Updated 11 months ago