pratyusa98/Open_cv_Crashcourse

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pratyusa98/Open_cv_Crashcourse

pratyusa98

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OpenCV Crashcourse

ML_Algo_pdf

It contains all pdf of ml algorithm

Jupyter Notebook

DSA

Here I Upload All Data structure And algorithm Problems

Brain_Tumor_Detection

Brain_Tumor_Detection_Using CNN Architecture

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Car_Brand_Prediction

Car_Brand_Prediction Using Mobilenet

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Auto-capture_Selfie_by_Detecting_Smile

Auto-capture_Selfie_by_Detecting_Smile

INuron-Assignment

This is all assignment of inuron course

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Supervised-ML

this is only supervised ml repo. in this i add all classification and regression ml problem which is on hackathon

Jupyter Notebook

Emergency-vs-Non-Emergency-Vehicle-Classification

Emergency vs Non-Emergency Vehicle Classification

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Nlp_project_dataset

Here I Upload All NLP Project with their respective dataset...

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pratyusa98

AQI_Prediction

Air Quality Index Predictor

Haar_Cascade_Classifiers

Haar_Cascade_Classifiers

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Customer-Churn

This is ML Project to find Churn Of a customer in telecome industry

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python-certificate-hacker-rank

this is the code of python certificate programme in hacker rank

Malaria_Detection

Malaria Detection from Cell Images using Deep Learning

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Approach_For_ML_Model

here i upload different approach for doing ml model in hackathon.

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Startup-Success-Prediction

A startup or start-up is a company or project begun by an entrepreneur to seek, develop, and validate a scalable economic model. While entrepreneurship refers to all new businesses, including self-employment and businesses that never intend to become registered, startups refer to new businesses that intend to grow large beyond the solo founder. Startups face high uncertainty and have high rates of failure, but a minority of them do go on to be successful and influential. Some startups become unicorns: privately held startup companies valued at over US$1 billion. [Source of information: Wikipedia]

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Job_Salary_Predictor

Business Understanding This project aims to predict salary for specific fields - data related positions. Therefore, the training and test data is better to be limited within data/analytics related job positions to get more valuable features. When scrapping the data, we make sure one of these keywords exist in the whole job description: 'data analytics','data science','analysis'.

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RNN_Notebook

RNN+CNN+TransferLaerning

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D-Tale

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.

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Janatahack---Healthcare-Analytics

The healthcare sector has long been an early adopter of and benefited greatly from technological advances. These days, machine learning plays a key role in many health-related realms, including the development of new medical procedures, the handling of patient data, staff management & more.

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techno_colab

it is the internship report of technocolab that i am doing in between 25-07-2020 to 25-08-2020

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mysql_using_python

Connect to Mysql using Python (Create,Insert,Fetch)

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Crossvalidation

Cross validation in ML

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Background-Removal-Using-OpenCv

Code For Change Background Using Opencv

Lazy_Predict

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Colorize_Black_and_White_Images

Colorize Black & White Images

pingouin

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy.

Jupyter Notebook

ML_Dataset

Stackoverflow_Tags_Predictions

Tag Prediction in Stackoverflow

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Streamlit

pytesseract

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

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Auto_ML

Here I upload all automl like Tpot, Auto-Sklearn

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Deep_Learning_project

Here I Upload All Deep Learning Regarding Project with flask implementation.

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Box_Office_React

Flight_Ticket_Price_Prediction

Flight _Ticket_Price _Prediction

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-Exploratory_data_analysis-

Here I Upload All EDA

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CNN_Notebook

CNN+TransferLearning

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Compitative_Programme

Movie_App

Flask_Movie_App

web_scrapping_project

In this project I am scrap the data from weikipedia.

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Ml_Web_App

Here You Can Doing Machine Learning Prediction On website. Here I am Add Only Classification And Regression.

AirlinereservationSystem

This is a java based application

Data_Analysis_PowerBI

This is my data analysis project using mysql workbench and POWER BI tool

PHP-CRUD

Object_Detection_With_YOLOV8

YOLO Object Detection

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Deep_learning_Miscellaneous

Here I am going to ensemble different type of models such that CNN,ANN,RNN and combaine them to predcit more accuratly.

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ATM-machine-with-Python

A beginner’s project on writing Python codes that mimics an ATM machine function for — password creation, cash deposit, cash withdrawal, view customer transaction history, search customer profile and create customer profile.

Fashion_MNIST

Jupyter Notebook