thtang / Business-Analytics-Using-Statistical-Modeling

Related projects ⓘ

Alternatives and complementary repositories for Business-Analytics-Using-Statistical-Modeling

• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• Apress / applied-natural-language-processing-w-python
  Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II
  ☆42Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 7 years ago
• elena-roff / overwatch-anova-svm
  Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…
  ☆10Updated 7 years ago
• yingpublic / RMI-AI
  ☆17Updated 4 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆20Updated 6 years ago
• brienna / BIOF509
  Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
  ☆19Updated 8 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 6 years ago
• stefan-jansen / topic-modeling
  ☆14Updated last year
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• talfco / clb-sentiment
  Start your journey into social media analysis of politicans by using Python (Tutorial)
  ☆21Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• blendo-app / EmailListChurnRate
  ☆13Updated 7 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆18Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• avannaldas / ML-End-to-End
  Bare minimum End-to-End ML application with Flask REST API Prediction Service
  ☆12Updated 4 years ago
• sujitpal / thinkstats-examples
  Worked examples for exercises in Think Stats using the Scientific Python stack.
  ☆8Updated 4 years ago
• vi3k6i5 / pandas_basics
  basic pandas tutorials
  ☆47Updated 7 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆32Updated 5 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆28Updated 7 years ago
• ibm-cloud-architecture / refarch-data-ai-analytics
  ☆14Updated 4 years ago