Welcome to my data science practices repository! This repository explores various data science practices based on Data Visualization & Analytics like Exploratory Data Analysis, statistical analysis, machine learning, and data visualization with Power BI.
This repository contains Jupyter Notebook files covering a range of data science practices. Here's a brief overview of what you can find:
- Exploratory Data Analysis on a given dataset using Python.
- Calculation of mean, median, and mode of the first 50 records in the dataset using Python.
- Multiple Linear Regression on data.
- Logistic Regression on a dataset.
- K-means clustering to gain insights from data.
- Decision tree classification algorithm using a dataset.
- Plotting various graphs for Data Visualization on Power BI.
- Amazon Prime Videos Dashbbaord on Power BI.
Each practical is implemented as a Jupyter Notebook, providing detailed explanations and code examples for each practice.
- Feel free to suggest improvements or new practices to be added to this repository.
- If you find any bugs or issues, please report them in the "Issues" section.
- Contributions through pull requests are welcome!
Happy coding!!