Pinned Repositories
cloudmesh.street
Ads-Click-Prediction
To boost the income through ad clicks, it is imperative to understand the significance of the factors affecting ad clicks. After mining through data logs provided by Outbrain,we formulated new learning problem in content ranking based on past clickthrough data to predict which pieces of content (ads) likely to be clicked by global users automatically.We used classification models like Naive Bayes, SVM, Random Forest and Stochastic Gradient Descent algorithms for learning parameterized orderings.
Automatic-Fare-Collection-System-Using-Near-Field-Communication
Exploratory-Data-Analysis
Factors-affecting-GHG-Emissions-in-US
Data Modeling and Analysis Project in SAS
Housing-Sale-Price-Prediction
"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.
Lending-Club-Loan-Data-Analysis
Exploratory Data Analysis carried out as part of academic project for STAT-S670 (EDA) course. Project includes data engineering, feature selection using carat package, Random Forest, Correlation test, etc. , default rate analysis and interest rate automation modeling using linear regression and many more.
Manhattan-Crime-Analysis
SAS-Statistical-Analysis
Programs for statistical analysis of various datasets and provide data modeling techniques
Statistical-ML-Modeling-and-Analysis-in-R
Projects and solved problem statements (Data Mining, Machine Learning and Statistical Analysis) in R.
rahulraghatate's Repositories
rahulraghatate/Housing-Sale-Price-Prediction
"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.
rahulraghatate/Automatic-Fare-Collection-System-Using-Near-Field-Communication
rahulraghatate/Lending-Club-Loan-Data-Analysis
Exploratory Data Analysis carried out as part of academic project for STAT-S670 (EDA) course. Project includes data engineering, feature selection using carat package, Random Forest, Correlation test, etc. , default rate analysis and interest rate automation modeling using linear regression and many more.
rahulraghatate/Deep-Learning
Course: Deep Learning
rahulraghatate/jobtitle_to_function_mapping_challenge
Job_Portal/HR analytics based on job_titles for exploring major Job Functions, Categories, Levels and utilize the results to improvise job portal granularity and outreach.
rahulraghatate/Exploratory-Data-Analysis
rahulraghatate/Manhattan-Crime-Analysis
rahulraghatate/AIPND
Code and associated files for the AI Programming with Python Nanodegree Program
rahulraghatate/Awesome-Interaction-aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
rahulraghatate/code-challenge
Coding challenge
rahulraghatate/cule
CuLE: A CUDA port of the Atari Learning Environment (ALE)
rahulraghatate/data-science-blogs
A curated list of data science blogs
rahulraghatate/DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
rahulraghatate/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
rahulraghatate/Image-Quantization-using-K-means-Algorithm
rahulraghatate/MachineLearningRoguelike
A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.
rahulraghatate/Manhattan-Properties-Sale-Analysis
rahulraghatate/ML-Simplest-Scenario
The simplest Unity ML Agents scenario I could think of
rahulraghatate/modular_rl
Implementation of TRPO and related algorithms
rahulraghatate/monthly-challenges
Repository containing monthly challenges in the field of quantum computing.
rahulraghatate/PPOL
PPOL is a crowd simulator based on Unity's ML Agents and using PPO Reinforcement Learning Algorithm
rahulraghatate/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
rahulraghatate/rahulraghatate.github.io
Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
rahulraghatate/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
rahulraghatate/speech_processing
Research work in speech separation and speaker identification
rahulraghatate/stackoverflow
Findings from Stackoverflow 2017
rahulraghatate/Technical-Reports-Case-Studies
Consists of technical review reports for technologies and case studies.
rahulraghatate/TelloForUnity
Ryze Tech/DJI Tello application development resources for Unity
rahulraghatate/TelloLib
rahulraghatate/UnityControllerForTello
A Unity Controller for the DJI/Ryze Tello