Descriptive Analysis and Regression Analysis
In this project, you will perform descriptive analysis on given data regarding cars. Using the data, you will have to classify cars based on various parameters and analyze the pric…
Computer Science · Course
Machine Learning Fundamentals In Depth
Become an AI engineer and enable machines to mimic human intelligence with the Python for machine learning course. Skill-Lync's Artificial Intelligence and Machine Learning course will teach different methods like K-means clustering to clean data and analyse them by performing descriptive and regression analysis.
- Duration
- 12 weeks
- Content
- 15 hours
- Projects
- 2
- Mode
- Online
- Fee
- ₹40,000
OverviewWhat you'll
What you'll
be able to do.
More and more industries are relying on machine learning to develop systems that function on their own through repetitive learning. As machine learning is widespread across a variety of domains and industries, it has become a standard prerequisite for engineers striving to work in the industry. This course will offer aspiring engineers a solid understanding of the fundamental machine learning algorithms.
You will learn about...
- Basic probability and statistics essential for understanding ML and AI
- Supervised learning (Prediction, classification)
- Random Forest and Model Evaluation
- Unsupervised Learning (K Means, Hierarchical, PCA)
In addition to the theory taught in this course, you will get hands-on exposure to the use of Python for machine learning applications. This course culminates with industry level projects focused on real-time application of machine learning concepts.
Who can enrol in this course?
Engineering graduates and working professionals with a background in similar fields can take this course.
Tools you'll use
Python
Curriculum12 modules,
Get the full syllabus ↓12 modules,
built with industry.
01Machine Learning Fundamentals In Depth
- Basics of Probability and StatisticsW01
This week, you will learn about
- Basics of Probability
- Basics of Statistics
- What ML & AI is
- Basics of Machine Learning (ML) & Artificial intelligence (AI)W02
This week, you will learn about
- Normal Distribution & Standard Normal Distribution: Introduction
- Business Moments: Introduction
- Artificial Intelligence
- Supervised Learning - PredictionW03
This week, you will learn about
- Supervised learning: Introduction
- What linear regression is
- One hot encoding
- Cost function and gradient descent
- Supervised Learning - ClassificationW04
This week, you will learn about
- Classification problems: Introduction
- What logistic regression is
- Cost function and gradient descent
- Supervised Learning - ClassificationW05
This week, you will learn about
- Decision tree
- Entropy
- Information gain
- Random Forest & Model EvaluationW06
This week, you will learn about
- Random forest
- Bootstrapping and majority rule
- Evaluation of classifiers
- Supervised Learning - ClassificationW07
This week, you will learn about
- Support Vector Machines (SVM)
- Mathematical intuition behind SVM
- How SVM is different from other classifiers
- Supervised Learning - ClassificationW08
This week, you will learn about
- K-Nearest Neighbor
- Lazy Algorithm
- Single-layer Neural Network
- Unsupervised Learning - K-MeansW09
This week, you will learn about
- What clustering is
- Why clustering is important
- K Means and elbow curve
- Unsupervised Learning - HierarchicalW10
This week, you will learn about
- Hierarchical Clustering
- Dendrogram
- Evaluation of clustering algorithms
- Unsupervised Learning - PCAW11
This week, you will learn about
- Feature Selection
- Principal Component Analysis (PCA)
- Mathematical intuition behind PCA
- Supervised Learning - ClassificationW12
This week, you will learn about
- Artificial Neural Networks
- Deep learning
- Different activation functions
- Understanding back propagation
- Basics of Probability and StatisticsW01
Industry projects2 projects
2 projects
you'll ship.
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
K-Means Clustering
In this project, you will have to clean a data set regarding cars and implement the clustering algorithm using K-Means. You will then have to explain the results and find the optim…
FeeOne fee.
One fee.
Everything included.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
Premium
₹40,000
Inclusive of all charges- 1 Year Access
- Personalized Page
- Live Individual & Group Sessions
- Personalized & Hands-On
- Job-Oriented Industry Relevant Curriculum
FAQQuestions,
Questions,
answered.
Who can take up AI ML courses online?
Students and graduates with a technical background in Computer Science can opt for this course.
Is this an online AI & ML course?
Yes, this is a 100% online course.
What is AI & ML?
Artificial Intelligence is involved in making systems that can work like humans. Machine Learning is a subset of AI where the machine is allowed to learn on its own from provided data sets.
What is the fee for this AI ML course?
The AI and machine learning course fee structure is flexible, and you can choose a plan that suits you. The basic plan would give you two months of access, the pro plan would give you four months of access, and the premium plan would provide you with lifetime access.
How much can a Machine Learning Engineer earn?
According to AmbitionBox, the average salary of a Machine learning engineer is 7.5 LPA. After completing this course, you can earn this average pay and expect more once you become an experienced professional.
Is there any certificate for completing this Machine Learning Fundamentals In Depth course?
Yes, after completing this best AI ML course, you shall be given a course completion certificate. The top 5% of the scorers shall be given a merit certificate alongside the course completion certificate.
Is there any technical support for this AI ML course to clear doubts?
Yes, you can clear your queries with email and forum support.
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