Floatint Tech

Floatint is a vision of three IITians to help make Data Science easily accessible to thousands of students and professionals dreaming to become a Data Scientist. We not only provide easy-to-grasp accessible courses in Python, Maths and Machine Learning but also help our students secure high paying jobs through Resume Preparation, Mock Interviews and our healthy connections with a number of HR partners.

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Become a Data Scientist | Book Floatint's personalized one-to-one Job Counselling session today!
Strings
Strings
While loop
While loop
Tuples
Tuples
List Indexing and Slicing
List Indexing and Slicing
Introduction to Lists in Python
Introduction to Lists in Python
Indentation in Python
Indentation in Python
If else elif statments
If else elif statments
Functions and methods of Lists
Functions and methods of Lists
For Loop
For Loop
Exploring Data Types
Exploring Data Types
Dictionary objects
Dictionary objects
Boolean Variables
Boolean Variables
Implementing Multiple Linear Regression in Python
Implementing Multiple Linear Regression in Python
Definition of Multiple Linear Regression
Definition of Multiple Linear Regression
Concept of Gradient Descent
Concept of Gradient Descent
Assumptions of Multivariate Linear Regression
Assumptions of Multivariate Linear Regression
Implementing Content Based Filtering in Python
Implementing Content Based Filtering in Python
Content Based Filtering
Content Based Filtering
Collaborative Filtering
Collaborative Filtering
What is a Neural Network
What is a Neural Network
Implementing Neural Networks in Python
Implementing Neural Networks in Python
Hyperparameter Tuning in Neural Networks
Hyperparameter Tuning in Neural Networks
Ways to balance the Bias Variance tradeoff
Ways to balance the Bias Variance tradeoff
Training Machine Learning Models
Training Machine Learning Models
Predicting sales using Regularization Techniques
Predicting sales using Regularization Techniques
Overview of Bias Variance tradeoff
Overview of Bias Variance tradeoff
Introduction to Regularization Techniques
Introduction to Regularization Techniques
Error -Mathematical Representation
Error -Mathematical Representation
Bias -Variance Tradeoff
Bias -Variance Tradeoff