daksh-intwala
#NLP Geek @python @C $AI Research $ML Developer Platforms: VS code, Anaconda, PyCharm
USA
Pinned Repositories
Big-Data-Learning
Control_Chart-Quality_Control
Introduction to control chart, how data can be evaluated to be statistically under control or not.
HandGesture_Recognition_Modeling
House-Price-Prediction--Regression-Anaylsis
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
Hypothesis-Testing---Student-s-t-test-ANOVA-test
Hypothesis Testing is done on a payroll database using various testing methods.
K-means---High-Dimensional-Data
Applying Kmeans to high dimensional data with 63 column fields.
KNN--Fruits-Classification
Using KNN to classify fruits based on 4 features (mass,width,heigth,color).
Multiple-Linear-Regression_OLS
Ordinary Least Squared method was implemented to analyze an MLR problem.
NLP_ULMFIT
Uniswap2-Queries-and-Web3---EthereumPython
A project of data retrieval from Uniswap2 in a DataFrame coded in Python3.9.5 on Jupyter Notebook-VScode.
daksh-intwala's Repositories
daksh-intwala/Control_Chart-Quality_Control
Introduction to control chart, how data can be evaluated to be statistically under control or not.
daksh-intwala/HandGesture_Recognition_Modeling
daksh-intwala/House-Price-Prediction--Regression-Anaylsis
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
daksh-intwala/Big-Data-Learning
daksh-intwala/DATA_601
Work for DATA 601: Introduction to Data Science
daksh-intwala/DecisionTreeClassifier---Basic
daksh-intwala/Hypothesis-Testing---Student-s-t-test-ANOVA-test
Hypothesis Testing is done on a payroll database using various testing methods.
daksh-intwala/K-means---High-Dimensional-Data
Applying Kmeans to high dimensional data with 63 column fields.
daksh-intwala/KNN--Fruits-Classification
Using KNN to classify fruits based on 4 features (mass,width,heigth,color).
daksh-intwala/Multiple-Linear-Regression_OLS
Ordinary Least Squared method was implemented to analyze an MLR problem.
daksh-intwala/NLP_ULMFIT
daksh-intwala/Uniswap2-Queries-and-Web3---EthereumPython
A project of data retrieval from Uniswap2 in a DataFrame coded in Python3.9.5 on Jupyter Notebook-VScode.
daksh-intwala/DS601_Spring22
daksh-intwala/EWR_Airport_Capacity_Analysis
daksh-intwala/Internship-Basics
Python ML lib Basics
daksh-intwala/Makeup_Industry_Problem_Identification-Solution
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.
daksh-intwala/Maryland-Health-Insurance-Data-Tableau-Analysis
Analyzed and performed EDA on health insurance data of Maryland State using Tableau.
daksh-intwala/ML--Implementation-of-LR-SVM-LDA-KNN-CART-NB
Just a basic implementation of 6 popular models. A full complete guide for an ML program for beginners!
daksh-intwala/Naive-Bayes-Classifier_with_Normality_Tests
Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.
daksh-intwala/node-converter
Convert SVC and XLSC file to PDF
daksh-intwala/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
daksh-intwala/py
Repository to store sample python programs for python learning
daksh-intwala/S-P500-Stock-Analysis-and-LSTM-model-prediction
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.
daksh-intwala/snap-n-eat
Food detection and recommendation with deep learning
daksh-intwala/Thresholding-openCV-pdf
Trying Data mining through thresholding
daksh-intwala/tsalib
Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)