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https://github.com/yash22222/data-analysis-with-python
This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
https://github.com/yash22222/data-analysis-with-python
binning data data-acquisition data-analysis data-binning data-cleaning data-formatting data-integration data-normalization data-preprocessing data-science data-transformation data-wrangling dataframe description numpy pandas pandas-dataframe python python3
Last synced: 21 days ago
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This repository provides a practical introduction to data acquisition and analysis using Pandas. It covers loading datasets, exploring data, manipulating data, and gaining insights through statistical summaries. Ideal for beginners, it offers code examples and explanations to enhance your data manipulation skills using Pandas for Python.
- Host: GitHub
- URL: https://github.com/yash22222/data-analysis-with-python
- Owner: Yash22222
- Created: 2023-07-01T17:44:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-19T06:31:04.000Z (over 1 year ago)
- Last Synced: 2024-11-09T23:22:59.513Z (3 months ago)
- Topics: binning, data, data-acquisition, data-analysis, data-binning, data-cleaning, data-formatting, data-integration, data-normalization, data-preprocessing, data-science, data-transformation, data-wrangling, dataframe, description, numpy, pandas, pandas-dataframe, python, python3
- Language: Jupyter Notebook
- Homepage: https://yashashokshirsath.netlify.app/
- Size: 2.67 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Data-Analysis-With-Python
### **Data Analysis with Python Labs**
This repository contains a collection of data analysis projects implemented in Python. Each project uses Python libraries and techniques to extract insights and make data-driven decisions.
**Labs List**
**Lab 1 Introduction**
Description:
- Acquire data in various ways
- Obtain insights from data with Pandas library
Libraries/Frameworks used: Pandas, NumPy
Key techniques employed:
- Data Acquisition
- Basic Insight into the Dataset
**Lab 2 Data Wrangling**
Objectives:-
- Handle missing values
- Correct data format
- Standardize and normalize data
Table of Contents:-
- Identify and handle missing values
- Identify missing values
- Deal with missing values
- Correct data format
- Data standardization
- Data normalization (centering/scaling)
- Binning
- Indicator variable
**Lab 3 Exploratory Data Analysis**
Objectives:- Explore features or characteristics to predict the price of the car
Table of Contents:-
- Import Data from Module
- Analyzing Individual Feature Patterns Using Visualization
- Descriptive Statistical Analysis
- Basics of Grouping
- Correlation and Causation
- ANOVA
**Lab 4 Model Development**
Objectives:- After completing this lab you will be able to:
Table of Contents:-
- Develop Prediction Models
How to Use
Clone the repository:-
git clone https://github.com/Yash22222/data-analysis-with-python.git
Install the required dependencies:
'''
pip install -r requirements.txt
'''
Navigate to the desired project folder:
cd project-folder-name
Run the project:
python main.py
