Master Python for data manipulation and analysis.
Job-Ready Python + ML (Machine Learning) Course Built to Boost Your IT Career
The Python + Machine Learning course provides an in-depth exploration of Python programming in the context of machine learning. This course is designed to introduce learners to the foundational concepts of machine learning, including data preprocessing, model selection, and algorithm implementation, using Python's powerful libraries such as NumPy, Pandas, Scikit-Learn, and TensorFlow.
Key Features
Gain proficiency in popular ML libraries like Scikit-learn and TensorFlow.
Develop skills to build and evaluate predictive models.
Learn techniques for data visualization and interpretation.
Understand the fundamentals of supervised and unsupervised learning.
Prepare for real-world applications with hands-on projects.
Syllabus for Python + ML (Machine Learning)
Learn practical skills from industry experts to become job-ready in IT
- Introduction - Basics of Python Programming
- Introduction - List the steps to install Python on Windows, Mac, and Linux
- Introduction - Kick Start Python using Integrated
- Introduction - Print fucntion in details
- Input Function
- Define Variables
- Date types
- Operators(+,-,/,*)
- Loops - While loop
- Loops - For loop
- SPYDER Environment - Introduction to SPYDER
- SPYDER Environment - Debugging using SPYDER
- Collections in python - List
- Collections in python - Tuple
- Collections in python - Dictionary
- Collections in python - Set
- Collections in python - Stack
- Collections in python - Queue
- Functions - Functions
- Functions - User - defined functions
- Classes & Methods in Python - Class and Objects
- Exceptional Handling
- Database Connectivity using Pandas lib
- Generators & Iterators
- Pickle Module in Python
- Data Pre-Processing - Label Encoder
- Data Pre-Processing - Regular expression
- Data Pre-Processing - OneHotEncoder
- Regression - Simple Linear regression
- Regression - Multiple Linear regression
- Regression - Polynomial regression
- Regression -SVR (support vector regression)
- Regression - Decision tree regression
- Regression - Random forest regression
- Classification - Logistic regression
- Classification - KNN (k-nearest neighbor
- Classification - SVM(support vector machine
- Classification - Kernel SVM
- Classification - Naive bayes
- Classification - Decision tree classification
- Classification - Random forest classification
- Clustering - K-MEans Clustering
- Clustering - Hierarchical clustering
- Association Rule LEarning - Aprior
- Reinforcement Learning - Upper Confidence Bound
- Natural Language Processing - Bag of Words problem
- Deep Learning - CNN
- Deep Learning - ANN
- Dimensionality Reduction - PCA(Principal Component Analysis
- Dimentionality Reduction - Backword Selection
- Dimentionality Reduction - Forward Selection
- Model Selection - Confusion Matrix
- Introduction - Basics of Python Programming
- Introduction - List the steps to install Python on Windows, Mac, and Linux
- Introduction - Kick Start Python using Integrated
- Introduction - Print fucntion in details
- Input Function
- Define Variables
- Date types
- Operators(+,-,/,*)
- Loops - While loop
- Loops - For loop
- SPYDER Environment - Introduction to SPYDER
- SPYDER Environment - Debugging using SPYDER
- Collections in python - List
- Collections in python - Tuple
- Collections in python - Dictionary
- Collections in python - Set
- Collections in python - Stack
- Collections in python - Queue
- Functions - Functions
- Functions - User - defined functions
- Classes & Methods in Python - Class and Objects
- Exceptional Handling
- Database Connectivity using Pandas lib
- Generators & Iterators
- Pickle Module in Python
Why Choose SPRK Technologies?
We don't just teach technology—we prepare you for a successful IT career with real-world experience.
Industry-Curated Syllabus
Designed for real-world projects with input from industry experts and working professionals.
Expert Mentorship
Learn from working professionals with hands-on mentorship and live coding sessions.
Project-Based Learning
Build real-world applications and gain practical experience with industry-standard tools.
Dedicated Support
24/7 technical support and dedicated career counselor to guide your learning journey.
Recognized Certification
Certificate recognized by top IT companies, validating your skills and expertise.
100% Placement Support
Guaranteed placement assistance with interview preparation and direct job opportunities.
Trusted by 4000+ Students
Join a community of successful alumni placed in leading IT companies across India.
Interactive Learning
Small batch sizes, recorded sessions, and interactive workshops for optimal learning.
Ready to Transform Your Career?
Join thousands of successful developers and start your journey to becoming a Full Stack Java Developer today!
Beyond Technical Training
We provide comprehensive support to ensure your success in the tech industry
1:1 Mentorship
Get personalized guidance from industry professionals throughout your learning journey.
Communication Skills
Free training to enhance your soft skills and professional communication.
Mock Assessments
Regular assessments and hands-on projects to test your knowledge.
Career Enhancement
Profile building and resume optimization for better job opportunities.
Mock Interviews
Simulated interview sessions to prepare you for real-world scenarios.
Career Counseling
Expert guidance to help you make informed career decisions.
Verifiable Certificate Upon Completion
Earn a recognized certification that validates your skills and enhances your career prospects
Elevate your expertise! Master the skills with a verifiable certificate.
Learn through hands-on projects, mock assessments, and simulated interviews—preparing you for real-world software development roles.
Industry Recognized
Certificate valued by top IT companies
Verified Credentials
Blockchain verified authenticity
Career Boost
Stand out in job applications
Lifetime Validity
Never expires, always relevant
