devdatta95

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

Basics-of-Python-Programming-For-Data-Science

This repository contains all the fundamentals of Python programming. which is mostly used in Data science and machine learning algorithm

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

Fashion-Class-Classification-Using-CNN

The global fashion industry is valued at three trillion dollars and accounts for 2 percent of the world's. GDP the fashion industry is undergoing a dramatic transformation by adopting new computer vision and Machine learning and deep learning techniques. In this case study we'll look at a hypothetical situation. We assume that if a retailer hired you to build a virtual stylist assistant that looks at customer Instagram and Facebook images and classifies what fashion category they are wearing either bags dresses and pants. The virtual assistant can help the retailer detect and forecast fashion trends and launch targeted marketing campaigns. In this story we're going to use the fashionmnist data. It's a data set that contains images of bags shoes and dresses. And we're asking the deep network to classify the images into 10 classes. So we wanted to build kind of an app per se or a model. They can look at images and can tell us exactly what category in this image. Is it like a short. Is it a bag. Is it like a hat. And so on. That's the whole objective. The data again they are divided into 28 by 28 greyscale images and the target class is actually No. 1 out of 10 which is kind of a target label which can be categorized as you can see into either like maybe a shoe maybe like like pants. Basically these are the target classes. We have the t shirts trousers pullovers ankle boots sneakers and so on so forth.

Numpy_Exercise

NumPy is a computational library that helps in speeding up Vector Algebra operations that involve Vectors (Distance between points, Cosine Similarity) and Matrices. Specifically, it helps in constructing powerful n-dimensional arrays that works smoothly with distributed and GPU systems. It is a very handy library and extensively used in the domains of Data Analytics and Machine Learning. Other than Python, it can also be used in tandem with languages like C and Fortran. Being an Open Source Library under a liberal BSD license, it is developed and maintained publicly on GitHub.

OCR_Documents_With_Flask

This flask web applications extract the text data from documets photos like adhar card, pan card, driving licesnce, Bank Cheque and Others, It also detected the face present in the document and store it in the face folder

Pandas_Exercise

The purpose of this repository to show various Excel tasks that can be executed using Pandas library in python

Python-Practice

Python_Exercise

These Python programming exercises are suitable for all Python developers. If you are a beginner, you will have a better understanding of Python after solving these exercises.

XYZ-Corporation-Lending-Data-Project

People often save their money in the banks which offer security but with lower interest rates. Lending Club operates an online lending platform that enables borrowers to obtain a loan, and investors to purchase notes backed by payments made on loans. It is transforming the banking system to make credit more affordable and investing more rewarding. But this comes with a high risk of borrowers defaulting the loans. Hence there is a need to classify each borrower as defaulter or not using the data collected when the loan has been given.

devdatta95/Python-Practice

devdatta95/PGA13-Face-Dection

this project is used to train LBPH model for face recognition and haarcasde for detection

devdatta95/adbc

devdatta95/FACE-PGA17

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devdatta95/faq2

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devdatta95/linear-regression

devdatta95/PGA23-ML-TEST

this project is used for model builidng

devdatta95/Project-VGG16

this project is used classification

devdatta95/Decision-Tree-and-Ensemble-Learning

create model to evaluate car conditions based on Decision tree and Ensemble learning

devdatta95/Decision-Tree-on-Cars-Data

devdatta95/Default-Prediction

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devdatta95/Default-Prediction-Using-SVM

THIS PROJECT IS USED TO TO CHECK DEFULT

devdatta95/Eduniox-TEST

devdatta95/Income-Category-Prediction

devdatta95/K-Means-Clustering-Using-ML

This Project is used to create cluster on mall shopping dataset using machine learning algorithm. and for this project we have used k-menas algorithm

devdatta95/Knnn-Classification

devdatta95/Linear-Regression2

devdatta95/pga14-face

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devdatta95/PGA17-Risk

this project is used to predict etkj alksdj lkj asldkfj laksdfja sdf;lkj l lk

devdatta95/pga21-svm

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devdatta95/pga25-ml

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devdatta95/PGA25-TEST

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devdatta95/project-1

devdatta95/sample

devdatta95/Sleep-Disorder

devdatta95/Sleep-Disorder-Pred

devdatta95/Sleep-Disorder-Prediction

devdatta95/SVM-PGA15

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devdatta95/t1

devdatta95/Term-Deposit-Salse-Prediction

Using the collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus increase their hit ratio