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Sanjeev Yadav's Projects

breakout-strategy icon breakout-strategy

Implement breakout strategy, remove outliers and the potential to be profitable using a Histogram and P-Value

btc icon btc

Technical analysis of Bitcoin trends involving use of stock price indicators

customer_segments icon customer_segments

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.

customer_segments_arvato icon customer_segments_arvato

Applied unsupervised learning techniques on demographic and spending data for a sample of German households.

data-modeling-postgres icon data-modeling-postgres

Create a Relational Database in Postgres for a music streaming service optimized for song plays analytics.

disaster-response-pipeline icon disaster-response-pipeline

ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event

explore_and_summarise_data icon explore_and_summarise_data

Exploratory data analysis of white wines data set to understand its chemical propertie using ggplot2 library of R

explore_us_bikeshare_data icon explore_us_bikeshare_data

This project explores data related to bikeshare systems for three major bikeshare systems in the United States.

finding_donors_for_charityml icon finding_donors_for_charityml

Applied supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.

hypothesis_testing icon hypothesis_testing

Apply A/B testing for a client who want to change the layout of their website's landing page.

investigate_a_dataset icon investigate_a_dataset

Investigated one of Udacity's curated dataset using NumPy and Pandas. Posing questions and sharing my findings at the end of project.

ml-capstone icon ml-capstone

Using supervised machine learning techniques to find university level factors affecting graduation and retention rates in US Colleges

multi-factor-model icon multi-factor-model

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

order-imbalance icon order-imbalance

Study of price volume data to analyze an order imbalance strategy for Bitcoin on BitMEX platform

personal-website icon personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

pytorchimageclassifier icon pytorchimageclassifier

First implemented the code in Jupyter Notebook and then converted it to a Python application that can be run from the command line

recommendations_with_ibm icon recommendations_with_ibm

Rank-based, collaborative filtering and matrix factorisation techniques for Recommendation Engine for IBM Watson Studio platform

smart-beta-portfolio-optimization icon smart-beta-portfolio-optimization

Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic programming to optimize the weights..

smartcab icon smartcab

Used Q-learning to train a driving agent to learn an optimal policy in a 2D environment

sparkify-capstone icon sparkify-capstone

Data Analysis in Spark to Identify Customer Churn for a fictional music service(like Spotify)

stroop-effect icon stroop-effect

Used descriptive statistics and statistical tests to analyze the Stroop effect, a classic result of experimental psychology.

trading-with-momentum icon trading-with-momentum

Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable

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