Machine learning

Courses / Data Science / Analytics / Machine Learning

Data Science / Analytics

Machine Learning

Couse Completed

105 Data Science

Upcomming Batch

15 Sept, 2024

Review

About Course

This Comprehensive Machine Learning Online Course will make you an expert in Python libraries Such as Numpy, Pandas, SciPy, Scikit-learn and Matplotlib for developing Machine Learning algorithms with efficient manners. Learn Linear Regression, Logistic Regression, Decision Trees, Random forest, Anova & Sentimental Analysis from the Scratch with real-time data with our Online Machine Learning Training.

Course Objectives

Understand the core concepts and algorithms of supervised and unsupervised learning.
Gain proficiency in data preprocessing, feature engineering, and model selection
Implement machine learning models using popular libraries like Scikit-learn and TensorFlow.
Evaluate model performance using metrics, cross-validation, and hyperparameter tuning.
Apply machine learning techniques to real-world datasets for prediction and classification tasks.

Course Curriculum

Visualization

Data, Problems, and tools

Matlab

Linear Classification

Perceptron update rule

Perceptron convergence

Generalization

Maximum margin classification

Classification errors

Regularization

Logistic regression

Linear regression, estimator bias, and variance, active learning

Kernel regression

Support vector machine (SVM) and kernels

Kernel optimization

Model selection

Model selection criteria

Description length, feature selection

Combining classifiers, boosting

Boosting, margin, and complexity

Margin and generalization, mixture models

Mixtures and the expectation-maximization (EM) algorithm

Clustering

Spectral clustering, Markov models

Hidden Markov models (HMMs)

Bayesian networks

Learning Bayesian networks

Probabilistic inference

Guest lecture on collaborative filtering

Current problems in machine learning, wrap up

Ratings & Reviews

4.5

Rated 4 out of 1 Rating

5 star

82%

4 star

30%

3 star

15%

2 star

6%

1 star

10%

Featured review

Preethi

2 weeks ago

The course covered everything from basic concepts to advanced techniques. The hands-on projects helped me apply what I learned, making the material much easier to understand.

Helpful?

Anitha

2 weeks ago

The course was organized in a logical way, with each topic building on the previous one. The explanations were clear, and the examples were relevant, making complex concepts approachable

Helpful?

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