Description

This is an intermediate level course. The course will take the students through the steps that Data Scientists, Machine Learning Engineers, AI specialists follow in every project. The course is also designed to teach all the topics from basic to advanced with real-world problems which will make them confident enough to solve any real-world challenge. Students/Professionals without a programming background also can start learning by taking this course.

This particular course, Data-Science & AI is an instructor-led course with a mean batch size of ten students. Within the 90 hours of online training, students will obtain theoretical & practical knowledge/information required to make the required skills. The trainer’s holistic approach is stemmed to satisfy the long-run wants of the scholar. They facilitate 100% job/placement, post the successful completion of the course & also provide the students with an option to take a demo class before enrolling for the course.

What Will I Learn?

  • You will be given an introduction to AI & its applied fields 
  • You will learn Data Distributions and Descriptive Statistics
  • You will learn Object-oriented Python (OOP), Advanced Python & Machine Learning

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility

Data-Science and AI

  • Introduction to AI and its applied fields 
  • Introduction to Data and Statistics 
  • Data Distributions 
  • Descriptive Statistics 
  • Mean, Median, Mode 
  • Std. Deviation, Variance and Covariance 
  • Inferential Statistics 
  • Correlation 
  • Hypothesis Testing 
  • Introduction to Python 
  • Basic Syntax 
  • Arithmetic operations 
  • List 
  • String 
  • Tuple 
  • Dictionary 
  • Function 
  • Object-oriented Python (OOP) 
  • Class and Object 
  • Inheritance 
  • Method Overriding 
  • Regular Expression (RE) 
  • Introduction to Advanced Python 
  • Numpy 
  • Pandas 
  • Matplotlib and Seaborn 
  • Project on Visualization 
  •  PySQL
  • Introduction to Machine Learning (ML) 9.1. Supervised 
  • Regression 
  • Simple Linear Regression 
  • Multiple Linear Regression 
  • Polynomial Regression 
  • Apply Regression on Dataset 
  • Classification 
  • Logistic Regression 
  • K-nearest neighbor (KNN) 
  • Decision Tree 
  • Support Vector Machine (SVM) 9.1.3.5. Random Forest (RF) 
  • Apply Classification on Dataset 
  • Unsupervised 
  • Cluster Analysis 
  • Dimensionality Reduction 
  • Introduction to Artificial Neural Network (ANN) 10.1. Perceptron 
  • Simple Neural Network 
  • Backpropagation 
  • Convolutional Neural Network (CNN) 12.1. Image Data 
  • Pooling 
  • Padding and Strides 
  • Natural Language Processing (NLP) 
  • Text Vectorization 
  • Stop words 
  • Stemming 
  • Lemmatization 
  • TF-IDF 
  • Final Project on AI

Mr.Sumit Kumar Som

Mr.Sumit Kumar Som is data science aspirant with a passion for delivering valuable data through analytical function and data retrieval methods. Committed to helping companies gain advancement by helping them to develop strategic plans based on visualization, predictive modelling and findings. he brings forth a proven track record of analyzing complex datasets and serves as a strong advisor.

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Batch Start Date End Date Timings Batch Type
Batch 1 08-03-2021 07-05-2021 Mon-Fri 6:00 PM-8:00 PM Weekday
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Description

This is an intermediate level course. The course will take the students through the steps that Data Scientists, Machine Learning Engineers, AI specialists follow in every project. The course is also designed to teach all the topics from basic to advanced with real-world problems which will make them confident enough to solve any real-world challenge. Students/Professionals without a programming background also can start learning by taking this course.

This particular course, Data-Science & AI is an instructor-led course with a mean batch size of ten students. Within the 90 hours of online training, students will obtain theoretical & practical knowledge/information required to make the required skills. The trainer’s holistic approach is stemmed to satisfy the long-run wants of the scholar. They facilitate 100% job/placement, post the successful completion of the course & also provide the students with an option to take a demo class before enrolling for the course.

What Will I Learn?

  • You will be given an introduction to AI & its applied fields 
  • You will learn Data Distributions and Descriptive Statistics
  • You will learn Object-oriented Python (OOP), Advanced Python & Machine Learning

Specifications

  • Free Demo
  • Learn from Experts
  • Interactive Learning
  • Missed Class Recovery
  • Instalment Facility

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