Name: Bhavinkumar Patel
Type: User
Company: Leven
Bio: Working as Jr.Data Scientist with knowledge and nice fregrence in Data Analytics, Business Analytics, AI, ML and DL. Involved in Python open source community.
Twitter: bhavinpatel0290
Location: USA
-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
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
