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Deep Learning tutorials in jupyter notebooks.
Data repository for pretrained NLP models and NLP corpora.
This is part of Kaggle Competition to predict house price using Regression Technique.
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
This is kaggle challenge and part of deep learning course as a beginner.
This is a solution to challenge posted on kaggle. The task is to identify the letters from images of Americal Sign Language. The images are of hand signs used by hearing impaired people.
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
The objective of this challenge is to write a code using a banks masked data, to approve candidate's application for credit card.
The objective of this project is to identify the price of used cars based on given dataset
This is first portfolio project on linear regression. We chose Fifa19 players dataset to predict player price based on various player attributes.
The code for the prize winners in DrivenData competitions.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This is part of homework assignment which required us to do extensive Exploratory Data Analysis and then predict the payment defaulters for next month
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
Repo for the Deep Reinforcement Learning Nanodegree program
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
A guidebook to building deep learning systems by Tom Hope, Yehezkel S. Resheff and Itay Lieder
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
AI101 - Comprehensive Deep Learning Tutorial
The 3rd edition of course.fast.ai
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This is a classification problem for loan prediction. Solution obtained using Logistic Regression.
This repo consists of presentations on big data as part of our curriculum at Aegis School of Data Science. The whole idea was to explore the applications of concepts and tools that we studied.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library