Alternatives and similar repositories for overwatch-anova-svm

Users that are interested in overwatch-anova-svm are comparing it to the libraries listed below

• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 5 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• elena-roff / price-modeling-rf
  Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…
  ☆32Updated 7 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• ritchieng / pandas-guides
  Detailed notes and codes on learning pandas quickly for machine learning.
  ☆26Updated 8 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• ritikabhasker / Intro-to-EDA
  Workshop and lesson on Exploratory Data Analysis
  ☆12Updated last month
• analyticsvidhya / LordOftheMachines
  Codes related to Lord of the Machines hackathon
  ☆10Updated 7 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆30Updated 4 years ago
• khanhnamle1994 / world-cup-2018
  An exploratory data analysis and data visualization project for World Cup 2018
  ☆37Updated 6 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• rdempsey / data-analytics-machine-learning-big-data
  Slides, code and more for my class: Data Analytics and Machine Learning on Big Data
  ☆8Updated 7 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 5 years ago
• eugeneyan / awesome-mlops
  A curated list of references for MLOps
  ☆13Updated 4 years ago
• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆35Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆21Updated 6 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago