iqbaljntra

Youtube-Sentiment-Analysis

This project is a web application that allows users to search for YouTube videos, display video information, comments, and analyze the sentiments of the comments. The application fetches data from the YouTube API and uses a pre-trained sentiment analysis model to evaluate the comments.

Face-Emotions-Prediction

Python script for real-time face emotion detection using a pre-trained convolutional neural network (CNN) model. The script uses OpenCV, Keras, Streamlit, and the Streamlit Webrtc library to capture video from a webcam or other camera device, detect faces in each video frame, and predict the corresponding emotion for each detected face

INTERNET-PROVIDER-CHURN-RATE-PREDICTION

This project aims to predict the churn rate of customers for an internet provider. By analyzing customer data, the model can help identify customers who are likely to leave the service, allowing the provider to take proactive measures to retain them.

Shoes-Brand-Prediction

The goal of the image `classification model`, To build a `Convolutional Neural Network (CNN)` model for this image classification task is to predict the brand of a shoes given an image of the shoes. The 3 classes in question are `Adidas, Converse, and Nike`.

MOBILE-PHONE-PRICE-RANGE-PREDICTION

This project aims to predict the price range of mobile phones based on various features such as specifications, brand, and other factors. By analyzing the data, the model can help users estimate the price range of a mobile phone before purchasing it.

ANALYSIS-OF-GAME-PURCHASE

This repository contains the code and documentation for the analysis of game purchase data. The goal of this project is to gain insights into the purchasing behavior of players in the gaming industry. By analyzing various factors such as player demographics, game genres, pricing strategies, and purchase patterns, we aim to provide valuable insights

Customer-Segmentation-Upscale.id-technicaltest

default_payment_next_month

Create a Model Classification to predict `default_payment_next_month`

FINAL-PROJECT-ARIA

FSDS_Guidelines

iqbaljntra/mabeltest

iqbaljntra/profit_calculation_Metamanager5

iqbaljntra/Profit_Calculation_account_ID_Metamanager_55

iqbaljntra/Face-Emotions-Prediction

Python script for real-time face emotion detection using a pre-trained convolutional neural network (CNN) model. The script uses OpenCV, Keras, Streamlit, and the Streamlit Webrtc library to capture video from a webcam or other camera device, detect faces in each video frame, and predict the corresponding emotion for each detected face

iqbaljntra/ANALYSIS-OF-GAME-PURCHASE

This repository contains the code and documentation for the analysis of game purchase data. The goal of this project is to gain insights into the purchasing behavior of players in the gaming industry. By analyzing various factors such as player demographics, game genres, pricing strategies, and purchase patterns, we aim to provide valuable insights

iqbaljntra/MOBILE-PHONE-PRICE-RANGE-PREDICTION

This project aims to predict the price range of mobile phones based on various features such as specifications, brand, and other factors. By analyzing the data, the model can help users estimate the price range of a mobile phone before purchasing it.

iqbaljntra/INTERNET-PROVIDER-CHURN-RATE-PREDICTION

This project aims to predict the churn rate of customers for an internet provider. By analyzing customer data, the model can help identify customers who are likely to leave the service, allowing the provider to take proactive measures to retain them.

iqbaljntra/Youtube-Sentiment-Analysis

This project is a web application that allows users to search for YouTube videos, display video information, comments, and analyze the sentiments of the comments. The application fetches data from the YouTube API and uses a pre-trained sentiment analysis model to evaluate the comments.

iqbaljntra/Customer-Segmentation-Upscale.id-technicaltest

iqbaljntra/Perqara-Technical-Test

iqbaljntra/GC-4

iqbaljntra/P1GC2

iqbaljntra/P1GC1

iqbaljntra/GC-1

iqbaljntra/GC-3

iqbaljntra/GC-2

iqbaljntra/Shoes-Brand-Prediction

The goal of the image `classification model`, To build a `Convolutional Neural Network (CNN)` model for this image classification task is to predict the brand of a shoes given an image of the shoes. The 3 classes in question are `Adidas, Converse, and Nike`.

iqbaljntra/default_payment_next_month

Create a Model Classification to predict `default_payment_next_month`

iqbaljntra/FINAL-PROJECT-ARIA

iqbaljntra/NGC-PASE-0-iqbal

iqbaljntra/FSDS_Guidelines