abusufyanvu / 6S191_MIT_DeepLearningLinks
MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentation Project Proposal Grading Rubric Past Project P…
☆215Updated 3 years ago
Alternatives and similar repositories for 6S191_MIT_DeepLearning
Users that are interested in 6S191_MIT_DeepLearning are comparing it to the libraries listed below
Sorting:
- Solved end-to-end machine learning projects☆35Updated 2 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆185Updated 2 years ago
- Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarc…☆132Updated last year
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆146Updated 7 months ago
- Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms☆105Updated 2 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆48Updated 4 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆65Updated 5 years ago
- Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Uns…☆72Updated 2 years ago
- A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.☆92Updated 4 years ago
- This repository contains jupyter notebook and other resources made by me during learning Data Science☆42Updated 5 years ago
- Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulatio…☆154Updated last year
- A list of machine learning GitHub repos sorted by industry.☆195Updated 5 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆232Updated 3 years ago
- A complete A-Z guide to Machine Learning and Data Science using Python. Includes implementation of ML algorithms, statistical methods, an…☆46Updated last week
- Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …☆185Updated last year
- Tensorflow Advanced Technique Specialization☆89Updated 4 years ago
- Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…☆65Updated 5 years ago
- Linear Regression Model for Real State House Price Prediction☆138Updated 2 years ago
- Supply Chain Optimization with Python☆100Updated 8 months ago
- I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The A…☆61Updated 5 years ago
- A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine …☆99Updated 2 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆143Updated 2 years ago
- https://youtu.be/Q82a93hjxJE☆45Updated last month
- A collection of all the projects built on TheCodex.Me☆165Updated 5 years ago
- jupyter blog☆131Updated last year
- The purpose of this project is to develop a predictive model and find out the sales of each product at a given Walmart store.☆47Updated 6 years ago
- Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning☆36Updated 4 years ago
- Python programming skill set with the toolbox to perform supervised, unsupervised, and deep learning, learn how to process data for featu…☆40Updated 5 years ago
- This is the solution of the "Mathematics for Machine Learning Specialization" made by Coursera☆37Updated 4 years ago