Pinned Repositories
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Big-Data-Facebook-Posts-Analyzer
This is the course project for Big data technologies. Analyzing streaming facebook posts data.
Bike_Share_Project
leverage ML algorithms and s3, MongoDB, spark, AWS to predict Bay Area bike share daily demand
capstone
Clustering-News-Headlines
The project groups scrapped News headlines using NLTK, K-Means clustering and Hierarchical clustering using Ward Method.
Coursera-Inferential-Statistics-with-Duke-Univ
HW solutions to Inferential Statistics course on Coursera taught by professors at Duke University
developerFolio
Software Developer Portfolio Template that help you showcase your work and skills as a software developer ⚡️
Lending-Club-Visualization
Designed interactive visualization and provided analysis for Lending Club Loan data.
scraping-glassdoor-selenium
Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"
Statistics-for-Data-Science
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
krish3124's Repositories
krish3124/Coursera-Inferential-Statistics-with-Duke-Univ
HW solutions to Inferential Statistics course on Coursera taught by professors at Duke University
krish3124/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
krish3124/Big-Data-Facebook-Posts-Analyzer
This is the course project for Big data technologies. Analyzing streaming facebook posts data.
krish3124/Bike_Share_Project
leverage ML algorithms and s3, MongoDB, spark, AWS to predict Bay Area bike share daily demand
krish3124/capstone
krish3124/Clustering-News-Headlines
The project groups scrapped News headlines using NLTK, K-Means clustering and Hierarchical clustering using Ward Method.
krish3124/developerFolio
Software Developer Portfolio Template that help you showcase your work and skills as a software developer ⚡️
krish3124/Lending-Club-Visualization
Designed interactive visualization and provided analysis for Lending Club Loan data.
krish3124/scraping-glassdoor-selenium
Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"
krish3124/Statistics-for-Data-Science
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
krish3124/Cookbook
The Data Engineering Cookbook
krish3124/Coursera-Introduction-to-Probability-and-Data
Statistics with R Specialization by Duke University on Coursera.
krish3124/insurance_claims_prediction
krish3124/msds692
MSAN692 Data Acquisition
krish3124/serverless-data-analytics
CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries
krish3124/skillsnetwork
krish3124/solutions
Solutions for projects.
krish3124/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
krish3124/temp
krish3124/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
krish3124/Yelp-Review-Dataset