Rahul Vijay Raghatate (rahulraghatate)

rahulraghatate

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Company:BMW GROUP (CGF-LLC)

Location:USA

Home Page:https://www.linkedin.com/in/rahulraghatate/

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Rahul Vijay Raghatate's repositories

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.

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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.

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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.

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AIPND

Code and associated files for the AI Programming with Python Nanodegree Program

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Awesome-Interaction-aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

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code-challenge

Coding challenge

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cule

CuLE: A CUDA port of the Atari Learning Environment (ALE)

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data-science-blogs

A curated list of data science blogs

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Deep-Learning

Course: Deep Learning

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DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

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MachineLearningRoguelike

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

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ML-Simplest-Scenario

The simplest Unity ML Agents scenario I could think of

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modular_rl

Implementation of TRPO and related algorithms

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monthly-challenges

Repository containing monthly challenges in the field of quantum computing.

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PPOL

PPOL is a crowd simulator based on Unity's ML Agents and using PPO Reinforcement Learning Algorithm

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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.

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rahulraghatate.github.io

Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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speech_processing

Research work in speech separation and speaker identification

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stackoverflow

Findings from Stackoverflow 2017

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Technical-Reports-Case-Studies

Consists of technical review reports for technologies and case studies.

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TelloForUnity

Ryze Tech/DJI Tello application development resources for Unity

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UnityControllerForTello

A Unity Controller for the DJI/Ryze Tello

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