amish027/assignments

🙋Completed all the assignments based on SQL, EXCEL, PYTHON, EDA, MACHINE_LEARNING, LINEAR, MULTIPLE, LOGISTIC REGRESSION,

Assignments

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.🚀