Banashankari Stage II, Bangalore, India - 560070.
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Kannada Mother Tongue (Native)
English Proficient
Bapuji Institute of engineering and technology 2016
Bachelor of Engineering (B.E.)
Banashankari Stage II, Bangalore, India - 560070
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in R Programming
7
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
6
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
4
Data science techniques
Machine learning, R Programming, Python
Teaching Experience in detail in Data Science Classes
The Data Science course will include the following topics Introduction to Data Science What is Data Science? The Data Science Process Importance of Data Science Data Collection and Cleaning Data Sources Data Collection Methods Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) Descriptive Statistics Data Visualization Outlier Detection Data Preprocessing Handling Missing Data Feature Engineering Data Transformation Machine Learning Basics Introduction to Machine Learning Supervised vs. Unsupervised Learning Model Training and Evaluation Supervised Learning Algorithms Linear Regression Logistic Regression Decision Trees and Random Forests Support Vector Machines Naive Bayes Unsupervised Learning Algorithms Model Evaluation and Hyperparameter Tuning Model Metrics (Accuracy, F1 Score, etc.) Jupyter Notebooks (Python) / Studio (R) Real-world Projects and Case Studies Applying Data Science to Real Problems Data Science Career Paths Online Courses and Books Data Science Communities and Forums Conclusion and Next Steps
1. Which classes do you teach?
I teach Data Analytics, Data Science and R Programming Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 7 years.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in R Programming
7
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
6
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
4
Data science techniques
Machine learning, R Programming, Python
Teaching Experience in detail in Data Science Classes
The Data Science course will include the following topics Introduction to Data Science What is Data Science? The Data Science Process Importance of Data Science Data Collection and Cleaning Data Sources Data Collection Methods Data Cleaning and Preprocessing Exploratory Data Analysis (EDA) Descriptive Statistics Data Visualization Outlier Detection Data Preprocessing Handling Missing Data Feature Engineering Data Transformation Machine Learning Basics Introduction to Machine Learning Supervised vs. Unsupervised Learning Model Training and Evaluation Supervised Learning Algorithms Linear Regression Logistic Regression Decision Trees and Random Forests Support Vector Machines Naive Bayes Unsupervised Learning Algorithms Model Evaluation and Hyperparameter Tuning Model Metrics (Accuracy, F1 Score, etc.) Jupyter Notebooks (Python) / Studio (R) Real-world Projects and Case Studies Applying Data Science to Real Problems Data Science Career Paths Online Courses and Books Data Science Communities and Forums Conclusion and Next Steps
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