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Computer Engineer | Co-Founder at SK Learning Labs | IBM Certified Data Science Professional
Kush Jani
Computer Engineer | Co-Founder at SK Learning Labs | IBM Certified Data Science Professional
Home: Welcome
Professional IBM Data Science:
Studied:​
Data Science
Machine Learning
R Programming
Python
AI
Data Analytics
Tableau
Microsoft Power BI
SQL
Data Visualization
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And learned many more technologies, projects, skills, programming languages, and Bootcamps .
As a professional Computer Scientist, the main goal of my research is to understand how scientific processes are responsible for producing the interactions and measurements observed in the experiments and projects I work on. I use a combination of approaches and technologies specially developed for use in my studies. Learn more about my research and areas of study below.
Home: Welcome
About
Who I Am
A highly-flexible Computer Engineer from Silver Oak University and years of experience as a professional instructor and trainer for Data Science, Machine Learning, and programming with an insatiable curiosity, love for technology, and a relentless urge to meet new people. As part of my Engineer education program, I have studied Machine Learning from Stanford University, Data Science from IBM, Python, Tableau, DBMS, Data Science, Deep Learning, and R Programming, etc. I have done multiple projects using these technologies. I believe that with my strong academic knowledge I can make a significant contribution. I have a professional Data Science Certificate of IBM. I have my own company in which I organize workshops on technical subjects and also provide training to the students in technical fields like data science technologies, programming languages. etc. Over the course of my carrier. I have developed a skill set in data science and I hope to use my experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Feel free to contact me on Linkedin for more information on in-person training sessions or group training sessions.
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My Learnings
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Things that I have Learned
I am interested in studying the Data Science and Data Analysis which shape and guide the processes of the data world. My long-term goal is to identify and characterize the scientific mechanisms specific to my principal areas of research; Data Mining & Machine Learning, Data Science , and Data Analysis. Read more about these projects below.
Data Science & Machine Learning
I have developed my skills in Data Science & Machine Learning by learning :
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Implement Machine Learning Algorithms
Learn to use NumPy for Numerical Data
Learn to use Pandas for Data Analysis
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Use Plotly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
K-Means Clustering
Logistic Regression
Linear Regression
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Neural Networks
Support Vector Machines
R Programming
I Learned following modules for R programming language for data science and machine learning and data visualization :
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Program in R
Use R for Data Analysis
Create Data Visualizations
Use R to handle csv,excel,SQL files or web scraping
Use R to manipulate data easily
Use R for Machine Learning Algorithms
Use R for Data Science
Data Analysis with Pandas
Analyze data quickly and easily with Python's powerful pandas library I learned following techniques :
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Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!
Learn hundreds of methods and attributes across numerous pandas objects
Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
Resolve common issues in broken or incomplete data sets
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Python Programming Language
I Started from the basics and go all the way to creating my own applications and games by using following Python skills :
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Learn to use Python professionally, learning both Python 2 and Python 3!
Create games with Python, like Tic Tac Toe and Blackjack!
Learn advanced Python features, like the collections module and how to work with timestamps!
Learn to use Object Oriented Programming with classes!
Understand complex topics, like decorators.
Understand how to use both the Jupyter Notebook and create .py files
Get an understanding of how to create GUIs in the Jupyter Notebook system!
Build a complete understanding of Python from the ground up!
Tableau & Microsoft Power BI
Visualizing Citibike Trips with Tableau
By using Tableau software I visualize Citibike Trips Dataset having attributes like Most popular start stations, end stations, average trip duration, start & end time, etc.
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Microsoft Power BI
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Microsoft Power BI is a business intelligence tools in which make interactive visualization report, so have also done a project in it.
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Technical skills
Data Science
Machine Learning
Python
R Programming
SQL
Statistical Analysis
Artifical Intelligence
Deep Learning
Java
Data Base Management System(DBMS)
Tableau
Microsoft Power BI
AI
Computer Vision
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Do Best in PRESENT , Be Best in your FUTURE!
Kush Jani
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