Kolapakkam, Chennai, India - 600122.
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Tamil Mother Tongue (Native)
French Proficient
Japanese Proficient
Telugu Proficient
English Proficient
Hindi Basic
Malayalam Basic
PSG college of Technology 2016
Master of Engineering - Master of Technology (M.E./M.Tech.)
Kolapakkam, Chennai, India - 600122
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Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
8
Data science techniques
R Programming, Machine learning, Python, Artificial Intelligence
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
8
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
Yes
Python applications taught
Web Scraping with Python , Text Processing with Python, Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python, Data Science with Python
Teaching Experience in detail in Python Training classes
With over a 8 years of dedicated experience in Python training, I have honed my skills as a passionate and effective instructor. My journey began as a Python developer, where I immersed myself in the intricacies of the language. Transitioning seamlessly into training, I have conducted numerous workshops and courses, both online and offline, fostering a dynamic learning environment.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
8
Deep_Learning_Techniques
Tensorflow, Python
Teaching Experience in detail in Deep Learning Training
I bring a wealth of experience to the realm of Deep Learning education, marked by a focused and dynamic approach. With a background deeply rooted in artificial intelligence and machine learning, my journey as a Deep Learning instructor has spanned several years.
1. Which classes do you teach?
I teach Data Science, Deep Learning and Python Training 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 8 years.
Answered on 24 Jun Learn IT Courses/Data Science
To do data science, follow these steps:
Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R.
Data Collection: Gather data from various sources, including databases, web scraping, or APIs.
Data Cleaning: Process and clean the data to handle missing values, outliers, and ensure data quality.
Exploratory Data Analysis (EDA): Use visualization and summary statistics to understand the data and uncover patterns.
Feature Engineering: Create and select relevant features that improve model performance.
Model Building: Choose appropriate algorithms (e.g., regression, classification, clustering) and build predictive models.
Model Evaluation: Validate and assess model performance using metrics like accuracy, precision, recall, or AUC-ROC.
Deployment: Implement the model in a production environment for real-world use.
Continuous Learning: Stay updated with the latest tools, techniques, and industry trends through courses, reading, and practice.
Collaboration: Work with cross-functional teams, including business stakeholders, to ensure the model aligns with business goals.
Answered on 24 Jun Learn IT Courses/Data Science
Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline supply chains, and improve customer service. It also aids in risk management by predicting potential issues and providing actionable insights. Ultimately, data science fosters innovation, boosts profitability, and provides a competitive edge in the market.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
8
Data science techniques
R Programming, Machine learning, Python, Artificial Intelligence
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
8
Course Duration provided
1-3 months
Seeker background catered to
Individual, Educational Institution, Corporate company
Certification provided
Yes
Python applications taught
Web Scraping with Python , Text Processing with Python, Data Analysis with Python , Data Visualization with Python, PySpark, Machine Learning with Python, Data Science with Python
Teaching Experience in detail in Python Training classes
With over a 8 years of dedicated experience in Python training, I have honed my skills as a passionate and effective instructor. My journey began as a Python developer, where I immersed myself in the intricacies of the language. Transitioning seamlessly into training, I have conducted numerous workshops and courses, both online and offline, fostering a dynamic learning environment.
Class Location
Online Classes (Video Call via UrbanPro LIVE)
I am Willing to Travel
Tutor's Home
Years of Experience in Deep Learning Training
8
Deep_Learning_Techniques
Tensorflow, Python
Teaching Experience in detail in Deep Learning Training
I bring a wealth of experience to the realm of Deep Learning education, marked by a focused and dynamic approach. With a background deeply rooted in artificial intelligence and machine learning, my journey as a Deep Learning instructor has spanned several years.
Answered on 24 Jun Learn IT Courses/Data Science
To do data science, follow these steps:
Learn the Basics: Gain a solid foundation in statistics, mathematics, and programming languages such as Python or R.
Data Collection: Gather data from various sources, including databases, web scraping, or APIs.
Data Cleaning: Process and clean the data to handle missing values, outliers, and ensure data quality.
Exploratory Data Analysis (EDA): Use visualization and summary statistics to understand the data and uncover patterns.
Feature Engineering: Create and select relevant features that improve model performance.
Model Building: Choose appropriate algorithms (e.g., regression, classification, clustering) and build predictive models.
Model Evaluation: Validate and assess model performance using metrics like accuracy, precision, recall, or AUC-ROC.
Deployment: Implement the model in a production environment for real-world use.
Continuous Learning: Stay updated with the latest tools, techniques, and industry trends through courses, reading, and practice.
Collaboration: Work with cross-functional teams, including business stakeholders, to ensure the model aligns with business goals.
Answered on 24 Jun Learn IT Courses/Data Science
Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline supply chains, and improve customer service. It also aids in risk management by predicting potential issues and providing actionable insights. Ultimately, data science fosters innovation, boosts profitability, and provides a competitive edge in the market.
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