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Supervised Learning in Machine Learning
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This Supervised Learning in Machine Learning course on LearnVern is completely free. It will provide a comprehensive understanding of the topic and its practical applications.
Free Course
#1
See all ranking
Supervised Learning in Machine Learning
by
Learnvern
This Supervised Learning in Machine Learning course on LearnVern is completely free. It will provide a comprehensive understanding of the topic and its practical applications.
Free Course
#1
See all ranking
2 Modules
with Certifications
2+ Hours
of Recorded Content
4.7 Rated
by 10000 Learners
Hindi
Language
2 Modules
with Certifications
2 + Hours
of Recorded Content
4.7 Rated
by 10000Learners
Read all Reviews
Hindi
Language
Key Features:
This course is completely Free
100% online and Self-paced learning
Available in Multiple languages
Access on Mobile and TV
Full lifetime access to all content
Downloadable Resources
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Introduction to Machine Learning
- Introduction to Machine Learning
- Environment Setup part 1
- Environment Setup part 2
- Environment Setup part 3
- Quiz : Introduction to Machine Learning
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Data Preprocessing for Machine Learning
- Data Wrangling
- Importing Libraries and Dataset
- Handling Missing Data
- Handling Missing Data - Practical
- Encoding Categorical Data
- Encoding Catergorical Data - Practical
- Splitting Dataset
- Splitting Dataset - Practical
- Normalizing the Data - Part 1
- Normalizing the Data - Part2
- Finding Machine Learning Datasets
- Exploratory Data Analysis
- Plotting Graphs - Part 1
- Plotting Graphs - Part 2
- Distribution Models - Part 1
- Distribution Models - Part 2
- Assignment of Data Preprocessing for Machine Learning
- Quiz : Data Preprocessing for Machine Learning
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Machine Learning Paradigms
- Machine Learning Paradigms
- Sampling Methods
- Underfitting and Overfitting in Models
- Variance and Bias
- Assignment of Machine Learning Paradigms
- Quiz : Machine Learning Paradigms
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Supervised Learning Algorithms
- Overview of Classification
- Logistic Regression
- Logistic Regression - Practical
- KNN
- KNN - Practical
- Decision Trees for Classification
- Decision Trees Practical - 1
- Decision Trees Practical - 2
- Random Forest
- Support Vector Machine Classifier
- Support Vector Machine Classifier - Practical 1
- Support Vector Machine Classifier - Practical 2
- Naive Bayes Classifier
- Naive Bayes Classifier - Practical 1
- Naive Bayes Classifier - Practical 2
- Evaluating Classification Models Performance
- Evaluating Classification Models Performance - Practical
- Assignment of Supervised Learning Algorithms
- Quiz : Supervised Learning Algorithms
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Regression Algoritms
- Simple Linear Regression
- Simple Linear Regression - Practical
- Multi-Linear Regression
- Support Vector Regressor
- Support Vector Regressor - Practical
- Decision Tree Regressor
- Decision Tree Regressor - Practical
- Regressor Model Selection
- Evaluating Regression Model Performance
- Evaluating Regression Model Performance - Practical
- Assignment of Regression Algoritms
- Quiz : Regression Algorithms
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Advance Trends in Machine Learning
Advance Trends in Machine Learning
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Course Summary
Course Summary
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Interview Questions
- Interview Questions Part 1
- Interview Questions Part 2
- Interview Questions Part 3
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Career Guidelines
Career Guidelines
Course Offerings
Certificate you will get
NSDC Certificate of Partnership with LearnVern.
Help build strong resume.
Great add-on to get Internship.
Upgrade your Job with this certificate proof.
Pre Requsites
Basic proficiency in reading and writing.
Familiarity with using technology for research and assignments.
A curious mind and willingness to participate actively.
Course is for
Freshers
Professionals
Students
FAQ's
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Who should take Supervised Machine Learning using Python from LearnVern?Supervised Machine Learning using Python course from LearnVern is suitable for the candidates interested in enriching knowledge in Machine Learning. Supervised Machine Learning course is suitable for product research and development experts, data scientists, programmers, user experience creation managers, product planning specialists, etc.
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What skills can I acquire on completing Supervised Machine Learning using Python from LearnVern?Supervised Machine Learning offers more practical skills by demonstrating various processes and environmental set-ups which developers employ in their jobs. You can learn how to process data, draw regression models and use predictive modelling to make predictions related to sales, demand, revenue, etc.
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What modules are included in the Supervised Machine Learning using Python from LearnVern?In addition to the basics like why Machine Learning, importance and uses, etc. Supervised Machine Learning offers deeper insight into how Machine Learning is implemented professionally. The course equips candidates with practical knowledge of applying regression models, concept handling, missing data handling, data analysis, machine learning paradigms, etc. It helps make the best use of Supervised Machine Learning in professional setups.
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Is it possible to do a Supervised Machine Learning Course along with my job?Making learning easier by melting all barriers is the working principle of LearnVern. That is why it provides courses which candidates can do the way they want. They can adjust the pace and decide the time to access the course as per their schedule. So, they aren't required to leave their jobs to add more skills to their portfolio. The candidates can access the courses on their mobile devices. Thousands of students have downloaded the LearnVern application and are doing various courses to improve their learning curves.
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What are the unique features of the Supervised Machine Learning using Python Course available at LearnVern?First of all, it is a course that is explained in Hindi. So, language is never a problem for students trying to learn Supervised Machine Learning using Python. Secondly, this course is available for free. Also, you will be awarded the National Skill Development Certificate that is approved by the Government of India and helps you in jobs and establishing independent businesses.
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What are the requirements for joining the LearnVern Supervised Machine Learning using Python?Since it is available as a subcourse, your interest in Machine Learning can help you gain lots of benefits from Supervised Machine Learning. You should know Python programming and interest in Data Science to do this course. Also, a mobile device or a computer with a stable internet connection is required to access the video tutorial.
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What are the uses of Supervised Machine Learning in modern businesses?Businesses follow a proactive approach to ensure that there are no downtimes and machine failures. Also, they need to stay prepared for demand fluctuations or plausible threats. They apply Supervised Machine Learning for spam detection, signature recognition, weather forecasting, customer discovery, price predictions in the stock market, etc. Thus, Supervised Machine Learning helps businesses stay prepared for demand and user behaviour changes and to create firewalls against fraudulent activities.
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What are various Machine Learning functions associated with Supervised Machine Learning?Using Supervised Machine Learning using Python, the learners can create predictive models and also learn to use various applications that all modern businesses employ. On completion, the learners may acquire knowledge of performing predictions on labelled sets, making recommendation engines, speech and voice recognition, etc.
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