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:
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 8 years ago
- Detailed notes and codes on learning pandas quickly for machine learning.☆28Updated 9 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆36Updated 9 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- ML Nanodegree Capstone Project - Predicting NYC Taxi Trip Duration☆12Updated 8 years ago
- Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hado…☆12Updated 9 years ago
- Springboard - Data Science Intensive course☆13Updated 8 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆82Updated 9 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- Slides and materials for most of my talks by year☆93Updated 2 years ago
- Presentation + Jupyter Notebook from PyGotham July 2016☆35Updated 2 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆62Updated 2 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 6 years ago
- ☆101Updated 7 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- Metis Data Science Portfolio - Summer 2017☆26Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 9 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 8 years ago
- ☆15Updated 8 years ago
- Lending Club Loan data analysis☆45Updated 6 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Content for Udacity's Machine Learning curriculum☆10Updated 7 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- Competition Benchmarks☆17Updated 9 years ago
- The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.☆30Updated 6 years ago
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆19Updated 8 years ago