adinoriya / Python-Machine-LearningLinks
This repository basically covers Python implementation of different machine learning algorithms like Linear Regression, Logistic regression, Decision tree, PCA,SVM, kNN. It also has implementation of NLP and Recommender System.
☆22Updated 8 years ago
Alternatives and similar repositories for Python-Machine-Learning
Users that are interested in Python-Machine-Learning are comparing it to the libraries listed below
Sorting:
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …☆35Updated 6 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆86Updated 7 years ago
- Repo for Deep Learning Projects in NLP, GANs, Computer Vision☆19Updated 7 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …☆30Updated 4 years ago
- These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018☆29Updated 7 years ago
- ☆21Updated 6 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Build a flask app to server a machine learning model as a RESTful web service☆38Updated 7 years ago
- Implementing Machine Learning tasks using Tensorflow framework☆15Updated 7 years ago
- This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube☆87Updated 7 years ago
- Workshop and lesson on Exploratory Data Analysis☆12Updated 3 months ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 9 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 7 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-KerasWhat makes convnets so powerful at image classification?☆46Updated 7 years ago
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆37Updated 7 years ago
- Prediction of "left/stayed" employees using Decision Trees and more☆10Updated 7 years ago
- ☆25Updated 8 years ago
- Slides, code and resources for model interpretation methods in machine learning and deep learning☆32Updated 5 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 6 years ago
- Using LSTM network for time series forecasting☆44Updated 8 years ago
- Learning Machine Learning and showcasing my work for 100 Days.☆16Updated 6 years ago
- basic pandas tutorials☆49Updated 7 years ago
- Detailed notes and code to learn the basics of machine learning with scikit-learn.☆35Updated 8 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆37Updated 6 years ago
- Solution of the Titanic Kaggle competition☆129Updated 4 years ago
- This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya☆22Updated 7 years ago
- ☆28Updated 6 years ago