Banashankari Stage II, Bangalore 
1 student 
750 per hour Details verified of Apoorva G.✕
Identity
Education
Know how UrbanPro verifies Tutor details
Identity is verified based on matching the details uploaded by the Tutor with government databases.
Online Classes 
Share this profile Kannada Mother Tongue (Native)
English Proficient
Banashankari Stage II, Bangalore, India - 560070
ID Verified
Education Verified
Phone Verified
Email Verified
Report this Profile
Is this listing inaccurate or duplicate? Any other problem?
Please tell us about the problem and we will fix it.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in R Programming
7
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
6
Class Location
Online class via Zoom
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
Also have a look at
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in R Programming
7
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Data Analytics classes
6
Class Location
Online class via Zoom
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
Want to learn from Apoorva G.?
Share this profile 
Reply to 's review
Enter your reply*
Your reply has been successfully submitted.
Certified
The Certified badge indicates that the Tutor has received good amount of positive feedback from Students.
