Alternatives and similar repositories for ML-Models-from-Scratch

Users that are interested in ML-Models-from-Scratch are comparing it to the libraries listed below

• Deffro / Data-Science-Portfolio
  This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…
  ☆82Updated 7 months ago
• gabrielpreda / Kaggle
  Kaggle Kernels (Python, R, Jupyter Notebooks)
  ☆37Updated 3 months ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• vikua / ts-workshop
  ☆13Updated 2 years ago
• jaidevd / scipy_pandas_tutorial
  Repository containing notebooks for my Pandas tutorial at SciPy India 2013
  ☆15Updated 5 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆68Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆73Updated 4 years ago
• atif-hassan / Regression_ReSampling
  A python library for repurposing traditional classification-based resampling techniques for regression tasks
  ☆16Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 11 months ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 5 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• vikrantarora25 / Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
  A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…
  ☆32Updated 5 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• susanli2016 / Mathematics-for-Machine-Learning-Specialization
  ☆18Updated 4 years ago
• AlessandroCorradini / National-Research-University-Higher-School-of-Economics-Advanced-Machine-Learning-Specialization
  Repository for the National Research University Higher School of Economics - Advanced Machine Learning Specialization on Coursera
  ☆40Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• benthecoder / medium-code
  Code for my data science articles
  ☆47Updated 2 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆116Updated 10 months ago
• MustafaOguz / Survival_Analysis
  Survival Analysis with non-parametric, semi-parametric, and parametric models
  ☆39Updated 7 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 3 years ago
• jrfiedler / CASI_Python
  Python code for Computer Age Statistical Inference
  ☆52Updated 6 years ago
• TomasBeuzen / machine-learning-tutorials
  A collection of tutorials for different machine learning tasks
  ☆66Updated 2 years ago
• tirthajyoti / Covid-19-analysis
  Analysis with Covid-19 data
  ☆59Updated 4 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago