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Yash Mahendra's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

data-mining-in-r- icon data-mining-in-r-

This Repository contains the R Programs for Data Analysis and Data Mining for my academic subject Knowledge Discovery and Data Mining.

hmni icon hmni

📛 Fuzzy Name Matching with Machine Learning

instapy icon instapy

📷 Instagram Bot - Like/Comment/Follow Automation Script

kaggle-quora-insincere-questions-classification icon kaggle-quora-insincere-questions-classification

An existential problem for any major website today is how to handle toxic and divisive content. Quora wants to tackle this problem head-on to keep their platform a place where users can feel safe sharing their knowledge with the world. Quora is a platform that empowers people to learn from each other. On Quora, people can ask questions and connect with others who contribute unique insights and quality answers. A key challenge is to weed out insincere questions -- those founded upon false premises, or that intend to make a statement rather than look for helpful answers. In this competition, Kagglers will develop models that identify and flag insincere questions. To date, Quora has employed both machine learning and manual review to address this problem. With your help, they can develop more scalable methods to detect toxic and misleading content. Here's your chance to combat online trolls at scale. Help Quora uphold their policy of “Be Nice, Be Respectful” and continue to be a place for sharing and growing the world’s knowledge. Important Note Be aware that this is being run as a Kernels Only Competition, requiring that all submissions be made via a Kernel output. Please read the Kernels FAQ and the data page very carefully to fully understand how this is designed.

python-rectangles icon python-rectangles

Generic rectangles in screen coordinates. Functions to test relations between rectangles are supported like overlap, distance, etc.

sas-multivariate-data-analysis icon sas-multivariate-data-analysis

This Repository contain SAS Programs with Data and Output. The Programs includes examining data, output for SAS Procedures like Univariate, T2 test, and Principal and Exploratory Data Analysis. Also it includes Machine Learning models like Multiple Linear Regression, Logistic Regression, Manova and Clustering

sas-project-property-price-prediction icon sas-project-property-price-prediction

Dataset: This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It's a great dataset for evaluating simple regression models.

udemy---python-for-data-science-and-machine-learning icon udemy---python-for-data-science-and-machine-learning

This repository contain the Python codes written during the certification. Certification: Python for Data Science and Machine Learning Bootcamp at Udemy. Certification Number: UC-3F6J1XMR. Learned how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

web-analytics---python icon web-analytics---python

This repository contains the python codes and assignments for my academic subject Web Analytics

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