Certified Machine Learning with Python Training Course
Learn from Global Experts - Apache HADOOP, HDFS, Scoop, Map Reduce, YARN, Hive, Impala, & PIG
This Machine learning course provides a comprehensive introduction to the field of Machine Learning and equips learners with essential knowledge and skills to build intelligent systems that can analyse and make predictions from data. Through a combination of theory and hands-on practice, participants will gain a solid understanding of the core concepts, techniques, and algorithms used in Machine Learning.
15+ Years
of Educational Excellence
Ranked #1
by Working Professional
24 Months
Program Duration
100% Campus
With Weekend class
Course Overview
Machine Learning with Python is a broad field, and there are various algorithms, techniques, and applications to explore. It's beneficial to supplement your learning with books, tutorials, online courses, and practical projects to gain hands-on experience and deepen your understanding of this exciting field
Syllabus
A future-proof syllabus meticulously designed by industry experts and educationalists, comprising videos, texts, industry projects, live sessions, and assignments, is a comprehensive learning plan that will help you develop the required skill set and knowledge to secure a job that assures career growth.
Syllabus
Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.
- What is machine learning?
- Types of machine learning algorithms
- Supervised, unsupervised, and reinforcement learning
- Machine learning workflow
- Introduction to Python programming
- Data types, variables, and operators
- Control flow statements (if-else, loops)
- Lists, tuples, dictionaries, and sets
- File handling in Python
- Data cleaning and handling missing values
- Feature scaling and normalization
- Handling categorical data
- Data encoding and feature extraction
- Data splitting for training and testing
- Linear regression
- Logistic regression
- Decision trees and random forests
- Support vector machines (SVM)
- Naive Bayes classifiers
- K-means clustering
- Hierarchical clustering
- Principal Component Analysis (PCA)
- Association rule learning (Apriori algorithm)
- Training and test set evaluation
- Cross-validation techniques
- Evaluation metrics (accuracy, precision, recall, F1-score)
- Confusion matrix and ROC curves
- Overfitting and underfitting.
- Ensemble methods (bagging, boosting)
- Dimensionality reduction techniques
- Deep learning and neural networks
- Introduction to natural language processing (NLP)
- Recommender systems
- Data preparation and feature engineering
- Model selection and hyperparameter tuning
- Training and evaluating models
- Deploying machine learning models
- Model interpretation and explainability
- Hands-on projects applying machine learning algorithms
- Working with real-world datasets
- Solving classification and regression problems
- Fine-tuning models for improved performance
- Bias and fairness in machine learning
- Privacy and security considerations
- Ethical issues in AI applications
- Responsible data collection and usage
- Transparency and interpretability
- Freshers,
- Engineers,
- Domain Experts,
- Software & IT Professionals,
- Marketing & Sales Professionals
- Anyone interested in learning Big Data HADOOP, willing to make a career in Big Data and to score better in certification exams.
- Working with HDFS
- Batch Processing using MapReduce
- Data Analysis using Pig
- Querying Big Data using Hive & HBase
- Real-time Data Processing with Spark
- Workflow Scheduling using Oozie
- U.G Degree with minimum 50% or equivalent passing marks
- No coding experience is required
- Hadoop Developer,
- Hadoop Architect,
- Hadoop Admin,
- Senior Hadoop Developer,
- MIS Reporting Executive
- Data Scientist &
- Big Data Analyst
Programming Tools & Languages Covered
About the Program
The Machine Learning with Python program typically aims to equip participants with practical skills and theoretical knowledge in the field of machine learning using Python as the primary programming language.
Course Completion Certificate
Complete the Machine Learning with Python course successfully to receive this honorable course completed certificate from Pathpilots. This certificate, recognized by top organizations – MNCs, will be awarded to students who have scored at least 60% and above on the test and completed the assigned project work.
Syllabus
Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.
Team Members
Our Expert Instructors
Admission Process
Getting admitted to one of Pathpilots courses is a four-step, simple process. Let's take a walk-through:
Step 1
Fill out the application form by answering tour basic details.
Step 2
Selection Process
Attend a short test with questions about reasoning, aptitude, and the course basics.
Answer 10 Questions
If you score 50% and above, you are eligible to enroll for the course
If you score 50% and above, you are eligible to enroll for the course
You will receive a special 10 % discount on the total course fee if you answer nine questions correctly
Students who have scored the following marks in the below-mentioned competitive exams can join the course without attending the test. You are also eligible for a special Discount of 10% on the total course fee.
Exemption for students who have a GRE score of 300+, a GMAT score of 650+, a CAT score of 90+, and a GATE score of 500+
Step 3
Shortlisting – Reserving Seats
Pathpilots will shortlist students based on their profile and test scores. The selected candidates will receive admission letters and can block their seats by remitting an advance amount of INR……………….. (Amount to be decided by Client)
Step 4
Selection Process
Balance fee to be remitted within the next ten days or before the course commencing date.
Top Companies that Hire Our Students
Trusted by market leaders across the globe, our students play an active role in contributing to the development of the community as a whole at
Personalised Industry Session
90-minute sessions over the weekend by leading industry experts
Career Mentorship Sessions
90-minute sessions over the weekend by leading industry experts
Interview Preparation
90-minute sessions over the weekend by leading industry experts
Course Fees
This tutorial will help you learn quickly and thoroughly. Lorem ipsum, or lipsum as it sometimes known, is dummy text used in laying out print, graphic or web designs.
Rs 15000
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All Classes Video Provided
Classes offer video content for comprehensive learning and understanding.
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