Pradnya Patil (@Pradnya1208)
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Pradnya1208

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Top repositories

1

Telecom-Customer-Churn-prediction

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
Jupyter Notebook
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2

Squats-angle-detection-using-OpenCV-and-mediapipe_v1

The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
Jupyter Notebook
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3

Time-series-forecasting-using-Deep-Learning

The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
Jupyter Notebook
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4

Bitcoin-Price-Prediction-using-ARIMA

Bitcoin price prediction using ARIMA Model.
Jupyter Notebook
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5

Food-Delivery-Chatbot

🍱 The aim of this project is to build a chatbot for a food delivery app client.
Jupyter Notebook
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6

Drawing-recognition-using-CNN-and-flask

This is a Drawing application that uses a Convolutional Neural Network Model to classify drawings made by the user.
Jupyter Notebook
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7

Similar-product-recommendation-system-using-CNN

In this repository, we have implemented the CNN based recommendation system for finding similar products.
Jupyter Notebook
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8

Dimensionality-Reduction-Techniques

The goal of this project is to understand and build various dimensionality reduction techniques.
Jupyter Notebook
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9

Visualizing-data-using-the-embedding-projector-in-Tensorboard

In this project, we are going to analyze and graphically represent high dimensional embeddings using the TensorBoard Embedding Projector.
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10

Parkinsons-disease-prediction-using-CNN

The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual.
Jupyter Notebook
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11

Image-Caption-Generator

The aim of this project is to build an Image caption Generator using VGG16 model along with transfer learning and Fine-tuning. Checkout the result at: https://www.linkedin.com/posts/pradnya-patil-b049161ba_mittikerang-deeplearing-rnn-activity-6761079847793123329-P_2z
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12

Book-Recommendation-System--Traditional-approach

This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.
Jupyter Notebook
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13

Credit-card-fraud-detection-using-ensemble-learning-predictive-models

The Aim of this project is used to identify whether a new transaction is fraudulent or not.
Jupyter Notebook
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14

Walmart-store-sales-prediction

This project aims to forecast the weekly sales of Walmart stores across the USA.
Jupyter Notebook
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15

Classification-of-Cancer-images-using-CNN

The goal of this project is to classify cancerous images (IDC : invasive ductal carcinoma) vs non-IDC images.
Jupyter Notebook
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16

Web-Traffic-Time-Series-Forecasting

This project aims to forecast the future web traffic for approximately 145,000 Wikipedia articles.
Jupyter Notebook
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17

Snake-Game-using-Deep-Reinforcement-Learning

🐍 The Project is based on Reinforcement Learning which trains the snake to eat the food present in the environment.
Jupyter Notebook
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18

CNN-Architectures

The aim of this project is to implement/use pretrained popular architectures such as VGG16, VGG19, ResNet, AlexNet etc.
Jupyter Notebook
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19

AI-Virtual-Paint-App

The aim of this project is to create a virtual painter using computer vision.
Python
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20

Scraper-for-Ragas-in-Hindustani-Classical-Music

Jupyter Notebook
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21

Cross-Validation-techniques

This project aims to understand and implement all the cross validation techniques used in Machine Learning.
Jupyter Notebook
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22

Pruning-Decision-Trees

The objective of this project is to understand and implement the most commonly used Tree-pruning methods, Pre-pruning and Post-pruning.
Jupyter Notebook
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23

Loan-approval-prediction

It is a classification Problem where we are supposed to predict whether a loan would be approved or not.
Jupyter Notebook
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24

Credit-Card-Fraud-Detection-Using-Neural-Networks

The aim of this project is to identify fraudulent credit card transaction using Neural Networks.
Jupyter Notebook
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