pushprajsinghrathore
Python | Mentor | Python at Scale | Technical Skills (Microsoft Office | Data Structure | Database Management | SEO | Windows XP | Numpy, Pandas, Python, R prog
Need Data Indore India
Pinned Repositories
20-python-projects-challenges
In this Python project for beginners You will learn critical skills that will make you sharp in Python.
Agaricus-Bispours-mushroom--classification
In this notebook, I will be dealing with the Mushroom Classification by using Random Forest Classifier, SVM, XGBooster Classifier.
Agricuture-optimatzation
# Optimizing-Agricultural-Production Problem Statement - Building a Predictive Model so as to suggest the most suitable crops to grow based on the available climatic and soil conditions. Goal - To achieve precision farming by optimizing the agricultural production. The project is intended on Precision Farming. ➔ To Optimize Productivity ➔ By Understanding requirements of climatic and soil conditions for crops. ➔ Helps us to Cope up with weather unpredictability. About The Dataset Used (data.csv) - The Dataset Consists of 22 Unique Crops such as Maize, Wheat, Mango, Watermelon, Mango etc. ➔ The dataset consists of climatic conditions required to grow the crops. ◆ Temperature, Humidity, Rainfall. ➔ The dataset also consists of soil conditions required to grow the crops ◆ N: The Ratio of Nitrogen Content in Soil. ◆ P: The Ratio of Phosphorus Content in Soil. ◆ K: The Ratio of Potassium Content in Soil. ◆ pH: pH of the Soil Libraries Used In The Project - ● Numpy: Used for Mathematical Operations. ● Pandas: Used for DataFrame Operations. ● Seaborn and Matplotlib: Used for Data Visualizations. ● Ipywidgets: Used for Interactive Analysis. ● Sklearn: Used for Machine Learning Algorithms
Amazon-prime-video-analysis-
Amazon prime
ATM-working-on-OOPS-concept
How atm wroking on OOPS concept
classification-problemusing-logistic-regression
This is a classification problem need to be solve using logistic regression
cricbuzz-web-scraping
we have scrap a test match team name we collect a data on cricbuzz website and scrap it
cricbuzz-web-scraping-
we have to scrape a team name on test match on cricbuzz live score website
D-Mart-sales-Analysis-project-
Data-analysis-with-python
😎 Hello Everyone Welcome back with another concept on Data Analysis with python 🔷 In this project, you will learn how to work on a real project of Data Analysis with Python.
pushprajsinghrathore's Repositories
pushprajsinghrathore/20-python-projects-challenges
In this Python project for beginners You will learn critical skills that will make you sharp in Python.
pushprajsinghrathore/Data-analysis-with-python
😎 Hello Everyone Welcome back with another concept on Data Analysis with python 🔷 In this project, you will learn how to work on a real project of Data Analysis with Python.
pushprajsinghrathore/Agricuture-optimatzation
# Optimizing-Agricultural-Production Problem Statement - Building a Predictive Model so as to suggest the most suitable crops to grow based on the available climatic and soil conditions. Goal - To achieve precision farming by optimizing the agricultural production. The project is intended on Precision Farming. ➔ To Optimize Productivity ➔ By Understanding requirements of climatic and soil conditions for crops. ➔ Helps us to Cope up with weather unpredictability. About The Dataset Used (data.csv) - The Dataset Consists of 22 Unique Crops such as Maize, Wheat, Mango, Watermelon, Mango etc. ➔ The dataset consists of climatic conditions required to grow the crops. ◆ Temperature, Humidity, Rainfall. ➔ The dataset also consists of soil conditions required to grow the crops ◆ N: The Ratio of Nitrogen Content in Soil. ◆ P: The Ratio of Phosphorus Content in Soil. ◆ K: The Ratio of Potassium Content in Soil. ◆ pH: pH of the Soil Libraries Used In The Project - ● Numpy: Used for Mathematical Operations. ● Pandas: Used for DataFrame Operations. ● Seaborn and Matplotlib: Used for Data Visualizations. ● Ipywidgets: Used for Interactive Analysis. ● Sklearn: Used for Machine Learning Algorithms
pushprajsinghrathore/cricbuzz-web-scraping
we have scrap a test match team name we collect a data on cricbuzz website and scrap it
pushprajsinghrathore/Agaricus-Bispours-mushroom--classification
In this notebook, I will be dealing with the Mushroom Classification by using Random Forest Classifier, SVM, XGBooster Classifier.
pushprajsinghrathore/Amazon-prime-video-analysis-
Amazon prime
pushprajsinghrathore/ATM-working-on-OOPS-concept
How atm wroking on OOPS concept
pushprajsinghrathore/classification-problemusing-logistic-regression
This is a classification problem need to be solve using logistic regression
pushprajsinghrathore/cricbuzz-web-scraping-
we have to scrape a team name on test match on cricbuzz live score website
pushprajsinghrathore/D-Mart-sales-Analysis-project-
pushprajsinghrathore/Data-Science-ML-Alpha-2022
Data Science ML Alpha 2022
pushprajsinghrathore/Data-analyst-and-Data-science-interview-material-
Data analytics and Data science interview questions material
pushprajsinghrathore/E-COMMERCE-SALES-DASHBOARD-power-Bi-project-
pushprajsinghrathore/Forest-fire-Data-Analyst-Project-
Forest fire Data Analyst Project
pushprajsinghrathore/loops-conditional-questions-with-solutions
Practice with solution of exercises on Python conditional statements and loops, examples on various mathematical series,
pushprajsinghrathore/Medical-cost-Analysis-
pushprajsinghrathore/Ola-vs-UBER-Data-Analysis-Project-
pushprajsinghrathore/Online-E-Commerce-sales-Analysis-PowerBI
pushprajsinghrathore/Power-BI-projects
Steps Covered: 1. Connecting Database with Power BI Desktop. 2. Analyzing the tables and relations. 3. Data Cleaning using Power Query Editor with DAX (Data Analysis Expressions). and ultimately 4. Developing an Interactive BI Dashboard / Report.
pushprajsinghrathore/pushprajsinghrathore
Config files for my GitHub profile.
pushprajsinghrathore/puspa
pushprajsinghrathore/Python-basic-question
pushprajsinghrathore/python-home-work
pushprajsinghrathore/Python-library-Notes
A Python library is a collection of related modules. It contains bundles of code that can be used repeatedly in different programs. It makes Python Programming simpler and convenient for the programmer. As we don't need to write the same code again and again for different programs.
pushprajsinghrathore/Python-notes
pushprajsinghrathore/Python-programming-exercises
100+ Python challenging programming exercises
pushprajsinghrathore/R-project
Pokemon holds a very special place in my heart as it is probably the only video game I have judiciously followed for more than 5 years. With this dataset, I wanted to be able to explain some operation .
pushprajsinghrathore/Verge-article-scraper