daksh-intwala Goto Github PK
Name: Daksh Intwala
Type: User
Bio: #NLP Geek @python @C $AI Research $ML Developer Platforms: VS code, Anaconda, PyCharm
Twitter: _Raw_Star
Location: USA
Name: Daksh Intwala
Type: User
Bio: #NLP Geek @python @C $AI Research $ML Developer Platforms: VS code, Anaconda, PyCharm
Twitter: _Raw_Star
Location: USA
Introduction to control chart, how data can be evaluated to be statistically under control or not.
Work for DATA 601: Introduction to Data Science
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
Hypothesis Testing is done on a payroll database using various testing methods.
Python ML lib Basics
Applying Kmeans to high dimensional data with 63 column fields.
Using KNN to classify fruits based on 4 features (mass,width,heigth,color).
Identified a problem and set out a plan, flowchart to solve it including architecture, modeling and validation where all proposed solutions are backed by thorough research and analysis.
Analyzed and performed EDA on health insurance data of Maryland State using Tableau.
Just a basic implementation of 6 popular models. A full complete guide for an ML program for beginners!
Ordinary Least Squared method was implemented to analyze an MLR problem.
Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.
Convert SVC and XLSC file to PDF
Repository for Programming Assignment 2 for R Programming on Coursera
Repository to store sample python programs for python learning
Detailed EDA performed in DataBricks environment wherein ETL was done through PySpark. LSTM model was trained and effective predictions were made with minimal Mean Square Error. The aim was to guide beginners in investing stock market and how S&P500 stock can be a safe heaven for the passive investors and a real-time big investment opportunity for venture capitalists.
Food detection and recommendation with deep learning
Trying Data mining through thresholding
Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
A project of data retrieval from Uniswap2 in a DataFrame coded in Python3.9.5 on Jupyter Notebook-VScode.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.