Machine Learning
What is machine learning
Machine Learning (ML) in simple terms can be defined as the science of getting computers to act and learn without explicit programming to perform those actions. It has become quite popular in recent years.
course learning
Provide students the in-depth hands on knowledge software development life cycle.
Students get a chance to apply what that they learn in their course curriculum.
Helps student in deciding the kind of specialization they want to pursue.
Learn & Interact with renowned Industry Experts.
Receive an unparalleled education on the art of personality development with personal one-on-one attention.
Get thorough insight into Industry Standard
Hands on Demonstrations of Latest Technologies.
Will also include personality development and Technical skills.
Will also include Interview preparation skills.
Placement Assistance to students attending our training.
Course Content
- Python Datatypes,
Data Structure
Functions
Looping Techniques
Python Modules
Python Packages
Libraries
Installing Pandas,Numpy,Scipy,Scikit,Matplotlib etc.
Stages of the Data Mining Process
Data Mining Goals
Information and Knowledge
Advantages in Data Mining
Related technologies – Machine Learning, DBMS, OLAP, Statistics
Data Mining Techniques
Role of Data Mining in Various Field like Artificial Intelligence and Internet of Things dapibus leo.
Supervised & Unsupervised Learning
Regression Analysis
Linear Regression and Logistic Regression
Classification
Prediction
Bayesian Classification Models
Association rules
Neural Networks
Perceptron
MLP
SVM
Modelling Regression Analysis
Creating a Clustering Model
Loan Prediction Problem
Working on Iris Data Set
Titanic Data
Boston Housing Data Set
Predict Stock Prices
Classifying MNIST digits using Logistic Regression
Intrusion Detection using Decision
CIFAR Data set
ImageNet Data Set
Credit Risk Analytics using SVM in Python
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