Discover @Binita72 Open Source projects

Binita Kumari Mandal (@Binita72)

Binita72

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Registered over 4 years ago
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Python
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R
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Location 🇮🇳 India
Country Total Rank 13,521
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R
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Jupyter Notebook
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Python
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Data_science_R

Analytics_pandas_part_2

Jupyter Notebook

t-SNE

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Web_Development

Machine-Learning-Projects

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Indexing_knowledge

Object selection has had a number of user-requested additions in order to support more explicit location based indexing.

Jupyter Notebook

Patterns_using_codes

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Ecommerce-website

The website displays products. Users can add and remove products to/from their cart while also specifying the quantity of each item. They can then enter their address and choose Stripe to handle the payment processing.

Data-Science-Assignments_6093091572242797

Association-Rules

Jupyter Notebook

Decision-Tree_C5.0_CART

Jupyter Notebook

practice2

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Hypothesis_Example_4

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Project_09_Web_scraping_Practice

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Logistic_Regression

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Movies_Analysis

The model is build on "movies" dataset by using explanatory analysis process with pickle file at the end.

Jupyter Notebook

Homework_2

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Hypothesis_Example_3

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Working_with_APIs2

Next file added here

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Hypothesis_Example_2

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DBSCAN

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logistic.py

Customer_Personality_Analysis

Jupyter Notebook

Email_Template

To get the nearest email template required by the user based on the key words specified by the user. Tools : Python, json, Streamlit, NLP libraries, web scrabbing methods.

Jupyter Notebook

read_csv

This is just for knowing about what does pandas library do and how to read different files with help of pandas.

Jupyter Notebook

Virtualqaptive

Car_Price_Prediction

Jupyter Notebook

ds_R

anime-Recommendation-system

Problem_statement.text

Poll_Application

The Poll Application is a web-based platform built using the Django web framework that allows users to create, vote, and view the results of polls. The application supports multiple polls creation by different users, with various types of questions, including multiple choice, single choice, and open-ended questions.

BankNote_Authentication

This project is entirely based on finding out the bank note authentication. Here libraries are used for cleaning the data, Understanding the data, visualization of the data, and final building different types of model to find out best of it. The ML, Clustering Techniques, Heatmap etc are used for the better visualization.

Jupyter Notebook

Ensemble_Techniques

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Hotel_Booking_Prediction

To find the best classification model for predicting bookings cancellations and finding the best explaining variables for customer cancellations.

Jupyter Notebook