Recommendation System


Designed and implemented the Content-Based Filtering algorithm, which leveraged phone attributes to generate personalized recommendations for users.

Books Recommendation System (Demographic Filter) :
GitHub: @GitHub
linkedIn: @linkedIn
Kaggle: @Kaggle

Phones Recommendation System (Content Based Filter) :
GitHub: @GitHub
linkedIn: @linkedIn
StreamLit: @StreamLit

Books Recommendation System (Collaborative Filter) :
GitHub: @GitHub
Kaggle: @Kaggle

Bank Customer Churn


To identify customers who are likely to churn so that appropriate actions can be taken to retain them.
Applying various algorithms like Decision Tree, Random Forest, AdaBoosting, Gradient Boosting, XGBoosting.


GitHub: @GitHub
Kaggle: @Kaggle

Microsoft Stock Time Series


Analyzing the time series data of Microsoft's stock prices over a specific period, through statistical analysis and machine learning techniques.
Applying ARIMA Model, XGBoosting.
GitHub: @GitHub
Kaggle: @Kaggle

US Accidents Data Analysis


The US Car Accident analysis project is a data-driven exploration aimed at understanding the patterns, trends, and factors contributing to vehicular accidents across the United States. By analyzing a comprehensive dataset containing detailed information about accidents, including location, weather conditions, road features, and severity, this project seeks to uncover insights that can inform strategies for improving road safety and reducing accident rates nationwide.
GitHub: @GitHub
Kaggle: @Kaggle

IBM HR Data Analysis


Analyzing a rich dataset encompassing employee demographics, job satisfaction metrics, performance evaluations, and tenure, this project seeks to uncover patterns and trends that can inform HR strategies to enhance employee engagement, satisfaction, and retention within the organization.
Kaggle: @Kaggle
GitHub: @GitHub

Goals of Project:

1-Distribution of Attrition
2-Distribution of Gender
3-Distribution of Age by Gender
4-Distribution of Attrition by Gender
5-What is the effect of age on attrition ?
6-Is income the main factor towards employee attrition?
7-Does the Department of work impact attrition?
8-How does the environment satisfaction impact attrition?
9-How Is Attrition Affected by business travels?
10-What is effect of the distance from home on attrition ?
11-How does self Job Satisfaction impact the Attrition?
12-How does Work Life Balance impact the overall attrition rates?
13-How does work experience affect attrition?
14-How does work duration in current role impact Attrition?

Sales Data Analysis

Sales analysis is vital for finding weak spots and bottlenecks in sales processes. Find out how to collect and use sales data to achieve more sales goals.
GitHub: @GitHub
Kaggle: @Kaggle
Dashboard: @Dashboard

Goals of Project:

1-What was the best month for sales? How much was earned that month?
2-What city sold the most product?
3-What time should we display advertisemens to maximize the likelihood of customer’s buying product?
4-What products are most often sold together?
5-What product sold the most? Why do you think it sold the most?

Audi Cars Data Analysis

Sales analysis about Audi cars.
GitHub: @GitHub
Kaggle: @Kaggle
Dashboard: @Dashboard

Goals of Project:

1-Why did total price in 2019 increase and in 2020 decrease?!

Brain Tumor Classification


Classifying MRI into different categories based on specific criteria. By harnessing the power of machine learning techniques, such as convolutional neural networks (CNNs) and deep learning.
GitHub: @GitHub
Kaggle: @Kaggle

Plants disease

Analyzing images of plants to classify diseases is a crucial aspect of modern agriculture. By training on a dataset containing labeled images of both healthy and diseased plants, deep learning models can learn to recognize visual patterns indicative of various plant diseases.
Kaggle: @Kaggle

Rotten and Fresh
Classification Fruits


Analyzing images of fruits to determine their freshness status. By training on a dataset containing labeled images of both fresh and rotten fruits, the deep learning model learns to recognize visual patterns indicative of freshness or spoilage.
GitHub: @GitHub

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