About This Course
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.
Only getting the Microsoft certificate after clear the Microsoft examination.
Curriculum
17 Lessons30h
Various Data Science Disciplines.
Live Session 1 –58:07
Questions – Set 100:00
session1st notes00:00
Live Session 2 –51:13
Connecting the data science Disciplines.
Benefits of each Discipline.
Popular Data science Tools and Techniques.
Combinatorics.
Bayesian Inference.
Distributions.
Probability in Other Fields.
Descriptive Statistics
Inferential Statistics : Confidence Intervals
Hypothesis Testing
Variables and data types
Basic python syntax
Other python operators
Conditional statements
Python functions
Sequences
Iterations
Advance python tools
Linear Regression with sklearn
Logistic Regression
Cluster Analysis
K-MEANS Clustering
Other types of Clustering
Introduction to neural networks.
How to build a neural network from scratch with NumPy
TensorFlow 2.0
Digging deeper into NN’s: Introducing deep neural networks
Overfitting
Initialization
Digging into gradient descent and learning rate schedules
Preprocessing
Classifying on the MNIST Dataset
Business case example
Software Integration
₹13,500.00₹14,999.00
-10%
Android App Development
₹9,000.00₹9,999.00
-10%
Web Development
₹13,500.00₹14,999.00
-10%
Machine Learning
₹13,500.00₹14,999.00
