ML with Python: A Comprehensive Training Program
Welcome to Proximsoft’s ML with Python Training, your gateway to mastering machine learning with the powerful Python language. Our course is meticulously crafted by industry experts to provide you with a solid foundation in machine learning concepts and hands-on experience with Python’s versatile libraries and frameworks.
In this course, you’ll explore the fundamentals of statistical learning, delve into Python’s data processing and analysis tools, and learn the intricacies of machine learning modeling. From supervised and unsupervised learning to ensemble techniques and recommendation systems, our program covers a wide spectrum of topics, preparing you for success in the ever-evolving field of machine learning.
Why Learn ML with Python?
- Python’s simplicity and consistency make it an ideal language for machine learning and AI projects.
- Access a vast array of libraries and frameworks for AI and ML, fostering flexibility and platform independence.
- Machine learning and AI projects are the future, with increasing demand for professionals in this field across various industries.
- Enhance user experience and create value by developing apps that can see, hear, and respond, powered by machine learning.
| Mode of Training | Online live Interactive sessions |
| Duration of the Training | 6 weeks |
| Training duration per day | 60 – 90 min session |
| Software Access | Software will be installed/server access will be provided, whichever is possible |
| Training Materials | Soft copy of the material will be provided during the training |
| Training fee | Depends on the Requirement |
| Resume Preparation | Yes, at the end of the course based on the JD |
| Interview Preparation | Yes, by sharing some FAQ’s |
| Mock calls | Yes, 2 Technical Mock calls |
| Internship Project | Yes |
| Certification | Yes, at the end of the training |
| JOB Assistance | Yes |
| JOB Support | Yes |
| Weekdays | 6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr) |
| Weekends | 8 AM – 12 PM EST (student can pick any 2 hrs) |
Course Content
Module 1: Statistical Learning
- Statistical Analysis Concepts
- Descriptive Statistics
- Probability and Bayes Theorem
- Probability Distributions
- Hypothesis Testing & Scores
Module 2: Python for Machine Learning
- Python Overview
- Pandas for Pre-Processing and Exploratory Data Analysis
- Numpy for Statistical Analysis
- Matplotlib & Seaborn for Data Visualization
- Scikit Learn
Module 3: Introduction to Machine Learning
- Machine Learning Modeling Flow
- Treating Data in ML
- Types of Machine Learning
- Performance Measures
- Bias-Variance Trade-Off
Module 4: Optimization
- Maxima and Minima
- Cost Function
- Learning Rate
- Optimization Techniques
Module 5: Supervised Learning
- Linear Regression
- Case Study
- Logistic Regression
- Case Study
- KNN Classification
- Case Study
- Naive Bayesian Classifiers
- Case Study
- SVM – Support Vector Machines
- Case Study
Module 6: Unsupervised Learning
- Clustering Approaches
- K Means Clustering
- Hierarchical Clustering
- Case Study
Module 7: Ensemble Techniques
- Decision Trees
- Case Study
- Introduction to Ensemble Learning
- Different Ensemble Learning Techniques
- Bagging
- Boosting
- Random Forests
- Case Study
- PCA (Principal Component Analysis) and Its Applications
- Case Study
Module 8: Recommendation System
- Introduction to Recommendation Systems
- Types of Recommendation Techniques
- Collaborative Filtering
- Content-Based Filtering
- Hybrid RS
- Performance Measurement
- Case Study
Talk to Our Career Advisor
FAQ'S
Mastering ML with Python opens doors to a wide array of career opportunities, providing a competitive edge in the evolving field of data science and machine learning.
Absolutely! The course emphasizes hands-on experience with Python's machine learning libraries, ensuring participants gain practical skills in real-world applications.
The course includes projects covering supervised and unsupervised learning, ensemble techniques, and recommendation systems, providing a well-rounded learning experience.
Proximsoft provides dedicated job assistance, offering support in resume building, interview preparation, and connecting participants with our extensive network of employers to enhance their job placement prospects.
