Bhavinkumar Patel's repositories
-IBM-DevOps-and-Software-Engineering
This will have the all details about IBM DevOps and Software Engineering professional certification practice assignmet.
GRIP-TASK-1
We are solving the problem of Simple Linear Regression for the Student's Reading Duration Dataset and predicting the particular outcome by inputting the hours of reading.
gripapril21-task2
Prediction using Unsupervised ML - Using Iris Dataset predict the optimum number of clusters and represent it visually.
gripapril21-Task3
Task 3 : Exploratory Data Analysis - Retail
gripapril21-Task4
● Task 4 : Exploratory Data Analysis - Terrorism -> ● Level : Intermediate Level -> ● Author : Bhavinkumar Patel -> ● #gripapril21 -> ● Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ -> ● Query : As a security/defense analyst, try to find out the hot zone of terrorism. What all security issues and insights you can derive by EDA? -> ● Tool Used : (Python) - Jupyter Notebook -> ● Dataset: https://bit.ly/2TK5Xn5 -> ● YouTube: -> ● GitHub : https://github.com/bhavinpatel-DS/gripapril21-task4.git
gripapril21-Task5
# gripapril21 #task5 #thesparksfoundation Task 5 : Exploratory Data Analysis - Sports (Level - Advanced) Name : Bhavinkumar Patel #gripapril21 ● Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ ● As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team. ● Suggest teams or players a company should endorse for its products. ● Tool Used :- (Python) Jupyter Notebook ● Advanced Level - Create storyboards. Screen-record along with audio explaining the charts and interpretations. Use annotations, animation and images. ● Dataset: https://bit.ly/34SRn3b ● GitHub.com - ● YouTube.com - https://youtu.be/RhiNIp2oGkM
gripapril21-Task6
#gripapril21 #task6 #thesparksfoundation Task 6 : Prediction using Decision Tree Algorithm (Level - Intermediate) Author : Bhavinkumar Patel #gripapril21 ● Create the Decision Tree classifier and visualize it graphically. ● The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly. ● Tool Used - (Python) Jupyter Notebook ● Algorithm Used - Decision Tree Classifier ● Advanced Level - Create storyboards. Screen-record along with audio explaining the charts and interpretations. Use annotations, animation and images. ● Dataset - https://bit.ly/3kXTdox
The-Python-Workshop
A New, Interactive Approach to Learning Python