elena-roff / overwatch-anova-svmLinks
Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and Feature engineering, Support Vector Regression with scikit-learn including model selection, grid search and feature importance.
☆11Updated 8 years ago
Alternatives and similar repositories for overwatch-anova-svm
Users that are interested in overwatch-anova-svm are comparing it to the libraries listed below
Sorting:
- Detailed notes and codes on learning pandas quickly for machine learning.☆27Updated 9 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 8 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 6 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 9 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- ☆101Updated 7 years ago
- Extracting LinkedIn comments from any post and export it to Excel file☆23Updated 7 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hado…☆12Updated 9 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆82Updated 9 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan☆115Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Metis Data Science Portfolio - Summer 2017☆26Updated 7 years ago
- This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube☆50Updated 8 years ago
- ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration☆12Updated 8 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features☆34Updated 6 years ago
- Codes related to Knocktober 2016☆23Updated 9 years ago
- 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 7 years ago
- Introduction to Pandas, Scikit-Learn and Keras☆13Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Lending Club Loan data analysis☆45Updated 6 years ago
- ☆24Updated 2 years ago
- A tutorial to create python based prediction web app☆30Updated 5 years ago