Machine Learning
Learn Machine Learning
Machine Learning Training
July Ist
Mon-Fri
Timing
9:00 AM – 11:00 AM
Aug Ist
Mon-Fri
Timing
9:00 AM – 11:00 AM
Sep Ist
Mon-Fri
Timing
9:00 AM – 11:00 AM
Light Package
For Advanced
Full Package
For Beginners
Courses Include
30 Hours of Session
10 Hours of Lab
Flexible Schedule
One-on-One Doubt Session
Real Time Project Use
Certificate Oriented Curriculum
Machine Learning Content
Below, you will find comprehensive details of the Machine Learning Training course, covering all the essential aspects you will be exposed to throughout the program.
Machine Learning Course
Enroll in the Machine Learning training program offered by RisingStar Tech to acquire the necessary skills and expertise for a successful career as a Machine Learning Engineer. This comprehensive course provides a deep understanding of supervised and unsupervised learning, algorithms, support vector machines, and more. Through practical industry use cases, you will gain real-world experience and be well-prepared to pass the Machine Learning Certification Exam. Let RisingStar Tech guide you towards becoming a proficient Machine Learning professional.
Python Programming
- Introduction to Python
Anaconda Navigator Download & Installation
- Anaconda Navigator Download
- Anaconda Navigator Installation
- Create environment and download libraries
- Introduction to jupyter notebook
- Python Object & Data Structure
Numbers:
- Basic Arithmatic
- Variable assignment
String
- String
- String indexing and slicing
- String properties
List
- Lists
- List method
- List comprehsions
Dictionary
- Construct Dict
- Dict Methods
Tuples
Sets and Booleans
- Python Statement
Intro python state , if elif else
- introduction to python statements
- if,elif and else statement part 1
- if,elif and else statement part 2
For loop
- Introduction to for loops
- For loop examples
While loops , Useful Operators
- while loop
- break , cont , pass
- useful operator part 1
- useful operator part 2
- Methods and Function
lambda expression , nested statemet
- map and filter
- lambda expression
- nested statement part 1
- nested statement part 2
- methods
- functions part 1
- functions part 2
- list compressions
- OOPs
- OOPs basics
- OOPs inheritance
- OOPs polymorphism
- Python Libraries
- Creating array
- Using arrary and scalers
- Indexing arrays
- Array transposition
- Universal array functions
- Array processing
- Series
- Reindex
- Drop entry
- Selecting entries
- Data alignment
- Rank and sort
- Missing Data
- Seaborn categorical plots part 1
- Seaborn categorical plots part 2
- Seaborn categorical plots part 3
- Seaborn distribution plot part 1
- Seaborn distribution plot part 2
- Seaborn regression plot
- Seaborn style and color
Numpy
Pandas
Index objects
Matplotlib
Seaborn
What is Machine Learning
- Machine Learning application
- Machine learning Process
- How to become a machine learning engineer
- Pattern Recognition
Artificial intelligence
- What is AI
- What is deep learning
- AI tools and Models
Graphica Models
- What is PGM
- MRF
Stats and Prob
- Introduction to statistic
- Statistical analysis process
- Kurtosis
- Co-relation matrix
- Statistics practical
Data Pre-Processing
- Data preparation process
- Type of Data
- Feature Scaling
Machine Learning Types
- Logistic regression Data preprocessing
- Feture scalling _ model making
- Visualize training results
Multi and poly regression
- Multiple linear regression
- Polynomial regression part 1
- Polynomial regression part 2
Simple linear regression
- Regression data preprocessing
- Regression model making
- Supervised learning introduction
- Linear regression
- LMS algorithm
- Objective and application of linear regression
- Multiple and polynomial regression
- Logistic regression
- Objective and model eval
- Intro unsupervised learning
- Semi-supervised and important consideration
KNN
- KNN Data preprocessing
- KNN modeling
- Visualize KNN model
Decision Tree
- Decison tree Classifier
- Visualize the DT
dt regressor
- step 1 making DT regression
- step 2 DT Structure
RF practical
- RF practical part 1
- RF practical part 2
Decision tree regression
Decision Tree Classification
Random Forest
SVM
- SVM introduction
- SVM Mathematics
- Non-linear SVM
Clustering Analysis
- Clustering Introduction
- K-means theory
- k-means Mathematical
- kmeans practical part 1
- kmeans practical part 2
ANN
- Rise of artificial neuron
- Introduction to ANN
- Perceptron
- Activation Functions
- Feed forward Neural networks
- Cost function in neural network
- Back-propagation neural network
- Introduction to CNN
- CNN arch and Convolutional layer
- Pooling layer and fully connected layer
- RNN introduction
- Recurrent neurons
- Various configuration of RNNs
- Training recurrent neural network
- Tensorflow Introduction
- Computationsl Graph
- ANN practical
- Intro to ANN
- Part 1 data preprocessing
- Part 2 building ANN
- Part 3 testing ANN
- CNN Practical
- Import libraries
- Part 1 data preprocessing
- Part 2 Building the CNN
- Part 3 Training CNN
- Part 4 making a single prediction
- RNN practical
- Part 1 data preprocessing
- Part 2 Building RNN
- Part 3 testing the model
NLP
- Basics of NLP
- NLP application
- Feature extraction
- Gaussian NB
- NLP practicals
- NLP practical part 1
- NLP practical part 2
- NLP practical part 3
Reinforcement Learning
- Rf intro
- Case study overview
- Bellman eq
- MDP
- Q-learning
- Dynamic programming
- Q-learning practical
- Q-learning practical part 1
- Q-learning practical part 2
- Q-learning practical part 3
Benefits of Learning Machine Learning in RisingStar Tech, Vancouver
By enrolling in the Machine Learning course at RisingStar Tech, you can enjoy numerous benefits that will enhance your career prospects in the field. Gain in-depth knowledge of machine learning concepts, algorithms, and techniques through comprehensive training modules. Acquire hands-on experience through real-world industry projects, enabling you to apply your skills to practical scenarios. Benefit from expert guidance and mentorship from experienced instructors who will help you navigate the complexities of machine learning. Prepare for the Machine Learning Certification Exam and enhance your credibility as a qualified machine learning professional. Open doors to a wide range of career opportunities in industries such as finance, healthcare, technology, and more. Stay ahead in this rapidly growing field and unlock your potential with the Machine Learning course at RisingStar Tech.
Machine Learning Training In Vancouver
July 1st
Mon-Fri(21 Days)Timing 07:00 AM to 09:00 AM
August 1st
Mon-Fri(21 Days)Timing 07:00 AM to 09:00 AM
September 1st
Mon-Fri(21 Days)Timing 07:00 AM to 09:00 AM
