Hi😃 . 📊 Assignment Completion Summary
I am pleased to present a comprehensive compilation of my completed assignments, showcasing my proficiency in various data analysis and machine learning techniques. Below is a brief overview of the key areas covered:
🗄️ SQL:
Created and populated databases. Executed complex queries for data retrieval and analysis. Developed insights from large datasets using advanced SQL functions.
📈 Excel:
Utilized Excel for data organization, analysis, and visualization. Implemented functions, pivot tables, and charts for effective data presentation.
🐍 Python:
Conducted data preprocessing, analysis, and visualization. Developed machine learning models and performed exploratory data analysis (EDA).
🔍 Exploratory Data Analysis (EDA):
Analyzed datasets to uncover patterns, relationships, and insights. Visualized data using libraries like Matplotlib and Seaborn.
🤖 Machine Learning:
Implemented various machine learning algorithms for predictive modeling.
📉 Linear & Multiple Regression:
Built and evaluated regression models to understand relationships between variables.
📊 Logistic Regression:
Developed logistic regression models for binary classification problems. This compilation demonstrates my ability to apply analytical and statistical skills across various tools and techniques, highlighting my readiness for a professional role in data analysis and machine learning.🚀