Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.
Python is an interpreted, high-level, general-purpose programming language.
Python is a perfect minimalistic and intuitive language with a full-featured library line (also called frameworks) which significantly reduces the time required to get the first grasp of Machine learning.
Why learn Machine Learning Using Python?
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Accurate Medical Predictions
and Diagnoses
Simplifies
Time-Intensive Documentation
in Data Entry
Basic Level
Duration
40 hours
Eligibility
- Good knowledge of Mathematics(Undergraduate)
- Good understanding of Python programming
Course Fees
Class Room Training
Rs.17,000/-
Inclusive of all taxes
Online Training
Rs.27,000/-
Rs.17,000/-
Inclusive of all taxes
Advanced Level
Duration
40 hours
Eligibility
- Basic Knowledge of Machine Learning
- Good knowledge of Mathematics(Undergraduate)
- Good understanding of Python programming
Course Fees
Class Room Training
Rs.17,000/-
Inclusive of all taxes
Online Training
Rs.27,000/-
Rs.17,000/-
Inclusive of all taxes
What You Will Get?
40 Hours
of in depth training by the best Data Scientists
Study Materials
Machine Learning
Certificate of Completion after examination and alumni status
Course Benefits:
- Simplifies Product Marketing
- Easy Spam Detection
Your Course Path
Course Details
- The duration of the course is 40 hours
- The course fee is Rs.17,000/- for classroom and Rs.27,000/- Rs.17,000/- for online
- The course is administered in theory as well as practice
Basic Level
- What is Machine Learning (Day 1)
- Why Machine Learning (Day 1)
- Application of Machine Learning (Day 1)
- Data and Data Preprocessing (Day 1)
- Simple Linear Regression (Day 5)
- Multiple Linear Regression (Day 5)
- Polynomial Regression (Day 5)
- Support Vector Regression (SVR) (Day 6)
- Decision Tree Regression (Day 6)
- Random Forest Regression (Day 7)
- Regression Models Performance (Day 7)
- Logistic Regression (Day 8)
- K-Nearest Neighbors (K-NN) (Day 8)
- Support Vector Machine (SVM) (Day 9)
- Kernel SVM (Day 9)
- Classification Models Performance (Day 9)
- K-Means Clustering (Day 10)
- Hierarchical Clustering (Day 11)
- Principal Component Analysis (PCA) (Day 14)
- Linear Discriminant Analysis (LDA) (Day 14)
- Kernel PCA (Day 14)
- Model Selection (Day 15)
- XGBoost (Day 15)
Advanced Level
- Introduction to Advanced Machine Learning (Day 1)
- Supervised Learning (Day 1)
- Unsupervised Learning (Day 1)
- Data and Data Preprocessing (Day 1)
- Naive Bayes (Day 3)
- Decision Tree Classification (Day 3)
- Random Forest Classification (Day 4)
- Classification Models Performance (Day 5)
- Aprion (Day 6)
- Eclat (Day 7 & 8)
- Upper Confidence Bound (UCB) (Day 9)
- Thompson Sampling (Day 10)
- Artificial Neural Networks (Day 11)
- Convolutional Neural Networks (Day 12)
- Random Variable (Day 13)
- Mean and variance (Day 13)
- Probability (Day 13)
- Conditional Probability (Day 14)
- Bays Theorem (Day 14)
- Estimation (Day 14)
- Sampling (Day 14)
- Data Exploration (Day 15)
- Spam Filtering (Day 15)
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21 years of experience working in India, New Zealand & Singapore; in Information Security domain as Ethical Hacker, ISO 27001 Lead Auditor / Tutor, BS 10012 Privacy Lead Auditor, Mr. Sandeep Sengupta has conducted security audit in companies like ONGC, KPMG, PWC, Airtel, Vodafone, Accenture, Capgemini, Vedanta, PayU, Bandhan Bank, ABP, etc.
He has been invited as a speaker at FICCI, VIT (Vellore), Nasscom, CII, BCCI, ICAI, ISACA, FICCI, CeBIT, US High Commission (Kolkata), etc. He has taken part in several Television shows on ABP, ETV, NDTV, AajTak, Times Now, etc. In 2005, Sandeep founded the online community "Hackers Library"; which had 80,000+ members, making it the largest Indian online forum for cyber-security professionals at its time. Mr. Sengupta is the committee member at Nasscom (East) & CII ICT-East.
A Penetration Tester with 6 years of experience, Kirit has the expertise in Mobile Application Pentesting Network, IoT Penetration Testing, Source-code review, Fuzzing, Red teaming, Social Engineering, Digital Forensics and Incident Response, Dev(Sec)Ops, Malware Analysis as well as SOC analysis. He has been acknowledged for reporting critical vulnerabilities to Uber, Apple, Flipkart, and MIT. Mr. Kirit Sankar Gupta is the member of Data Security Council of India (Kolkata).
Mr. Saumitra Biswas is M.Tech in computer science from Netaji Subhash Engineering College, GATE qualified in computer science and a MSC in statistics from Kalyani University. He has 20 years of experience. His technical interests include Machine Learning, Neural Networks, Genetic Algorithms and Object Oriented Programming. He is skilled in C, C++, C#, Dotnet, Java, Python, Matlab, Unix, MS Windows XP, Windows 7, My SQL, Oracle, MS Access, HTML, XML, CSS and PHP. He take classes on AI & ML in ISOAH, as well as act as mentors to interns & project trainees.
After completion of her Master degree, she has worked with ISOAH as an intern for few years before joining full time as security analyst. She has been involved in internal audit, policy design, ISMS consultancy for more than 2 years. She is well versed in Kali Linux, Nmap, Metasploit, ITGC, ISO 27001 & COBIT framework. ISOAH clients she has provided active consultancy are CESC, Diadem, Lexplosion, Diamond Beverages, etc. As part of her hobby, she has been a professional model in her free time.
Ratings & Reviews
Course: Machine Learning Using Python
The course I opted for is Machine Learning. Felt very supported and listened to if I had any queries. Very knowledgeable. Really enjoyed the trainer Mr. Saumitra Sir, he was very approachable, humble and easy going, which made me feel at ease with the training and assessment. Thoroughly enjoyable, informative and stimulating. Very good session, this will help me in the future of my own training courses. THANKS ISOEH, SILIGURI
Course: Machine Learning Using Python
The Training provided by the ISOEH (Machine Learning and Python) was well and good and was conducted successfully. The subjects were properly divided into different chapters provided its proper time taken to complete each chapter. The study materials provided was good enough to understand the basics of the particular subject. Our trainer assigned for ML and python was very friendly and helped me to understand every little concepts that I was stuck upon. To summarize the whole experience here I would just say that it was very good and I do hope that the institute will conduct any future training with increase effort, goals and outcome.
Course: Machine Learning Using Python
The winter training session of machine learning and python at ISOEH through saumitra sir was very helpful for me. I have gained lot of knowledge from this session. The faculty member of ISOEH siliguri were nice to me. Our course trainer saumitra sir were one of the best trainer for me. I liked the way he used to teach us during the session period.
Course: Machine Learning Using Python
He has really good knowledge about machine learning and python programing ...he was really friendly towards us atleast learn something from him.
Job Prospects & Job Sources
ML jobs in India and abroad include Machine Learning Engineer, Data Architect, Data Scientist, Data Mining Specialists, Cloud Architects, and Cyber Security Analysts.
The world is depending on AI for almost all kinds of decision making for both start-ups and corporate giants. Hence the lucrative salaries for Machine Learning jobs such as ML Engineers, Data scientist, etc which on an average is around 9 lakhs in India and around $92,000 in USA for a Data Scientist with Machine Learning Skills.
The future of Machine Learning is excellent as the industrial need for the same is yet to match the supply. According to a report from the leading online job portal ‘Indeed’, since the beginning of the year 2018 employer demand for AI & ML skills has been exactly twice the supply of the professionals.
Moreover research from Markets and Markets indicates by 2022, the growth in machine learning market size will be USD 8.81 Billion.
Statistical excerpts of a opportunities in Machine Learning
FAQs
The syllabus includes Introduction, Regression, Classification, Clustering, Natural Language Progressing, Dimensionality Reduction, Model Selection and Boosting, Project/Assignment (Basic).
Introduction, Classification, Association Rule, Reinforcement Learning, Deep Learning, Probability, Machine Learning in Information Security, Project/Assignment (Advanced).
The duration of the course is 40 hours.
The course is administered in theory as well as practice.
The pre requisites of the course are Good knowledge of Mathematics, Good understanding of Python Programming (Basics).
Basic Knowledge of Machine Learning, Good knowledge of Mathematics, Good understanding of Python Programming (Advanced).
The world is depending on AI for almost all kinds of decision making for both start-ups and corporate giants. Hence the lucrative salaries for Machine Learning jobs such as ML Engineers, Data scientist etc which on an average is around 9 lakhs in India and around $92,000 in USA for a Data Scientist with Machine Learning Skills.
You have to apply for corporate job opportunities after this course.
Course Fees
Rs.27,000/-Rs.17,000/-
Inclusive of all taxes
Batches
Weekday Batches for Siliguri Center:
Mar, 2024
Mar, 2024
May, 2024
Member of:
