PG Diploma in Machine Learning

Stay ahead in technology with PG program in Machine learning

Program Overview:

Why learn a PG Diploma course in machine learning?

According to the World Economic Forum’s report, AI-enabled automation will generate 133 million new jobs by the end of 2022. The demand for PG diploma in ai and machine learning in India is expected to skyrocket. This PG diploma in artificial intelligence and machine learning in india is ideal for working professionals with programming knowledge along with beginners. The certification in machine learning covers key concepts like Machine learning, statistics, deep learning, reinforcement learning. The program is delivered through an interactive learning model with live sessions by global faculties, industry projects, and labs.Β Β 

Feature

Purdue Post Graduation certification in machine learning
Exclusive hackathons and Ask me Anything sessions
Live interaction with 40+ hours of live online classes by industry experts
Master Classes delivered by experienced faculties and working experts of top MNCs.
DataSpace Security's JobAssist helps you get noticed by top hiring companies.

Details of the program

Unlock the potential as an ML and AI professional with the pg diploma in machine learning and ai online program. In this PG Diploma course in machine learning, you will learn about various AI-based techniques, including machine learning, deep learning, natural language processing, speech recognition, etc.

  • Python
    • Python Installation Guidelines
      How to use Jupyter Notebook
      Introduction to Python
      Python programs
      Python Data Structures-List
      Python Data Structures-Dictionary
      Python Data Structures-Sets
      Python Data Structures-Strings
      Python Data Structures-Tuples
      Python Numpy
      Python Pandas-Data Frames
      Python Pandas-Series
      Python Pandas-Quick-tips
  • Statistics
    • Basics of Statistics
      Central Tendency
      Covariance
      Correlation
      Standard Deviation
      Z-Score
  • Data Processing
    • Data processing techniques in Python
      Matplotlib Python visualization library
      Box Plots
      Histograms
      Label Encoding
      One Hot Encoding
      Training and Testing data
  • Machine learning module 1
    Unsupervised (Learning)
    • Introduction to Clustering
      Understanding Income Group data set
      Understanding of K-means Algorithm
      Implementation of K-means in Python(Income Group)
      Elbow Test Method
  • Dimensionality Reduction:
    • Principal Component Analysis(PCA)
      PCA implementation in Python
  • Statistics: Feature Scaling:
    • Normalization
      Standardization
      Implementation of Feature scaling in Python
  • Decision Tree:
    • Understanding of Decision Tree
      Identification of Root Node
      Implementation in Python
  • Evaluation: Confusion Matrix:
    • Accuracy
      Recall
      Precision
      F-Score
  • Machine learning module 2
    (Supervised Learning)
    • Random Forest:
      Understanding of Random Forest
      Bagging Techniques
      Implementation in Python

  • K-Nearest Neighbors:
    • Understanding of KNN algorithm
      Understanding of iris dataset
      Implementation in Python
  • Linear Regression:
    • Understanding of Linear Regression ● Assumptions of Linear Regression ● Implementation in Python ● Problems in achieving accuracy of model ● R-Square ● Bias ● Variance ● Trade-Off between Bias and Variance
  • Polynomial Regression:
    • ● Understanding of Polynomial Regression ● Implementation in Python ● Visualization of output by changing parameters

  • Machine learning module 3
    • Logistic Regression: ● Understanding of Logistic Regression ● Implementation in Python ● Pros and Cons



  • Naive Bayes:
    • Understanding of Naives Bayes ● Examples ● Pros and Cons ● Implementation in Python
  • Support Vector Machines:
    • ● Understanding of Support Vector Machines(SVM) ● Understanding of different Scenarios ● Pros and Cons ● Implementation in Python
  • Machine learning module 4(Deep Learning)
    Artificial Neural Network:
    • What is Artificial Neural Network? ● Supervised Learning With Neural Network. ● Activation Functions ● How Neural Network Work ● How Neural Network Learn ● Gradient Descent

  • Implementation:
    • Making Predictions and Evaluating the Model Using Tensorflow
  • Convolutional Neural Network:
    • What is Convolutional Neural Network? ● The Intuition of CNN. ● How to Build an CNN. ● How To Predict what is inside a single image, ● Transfer Learning Implementation: ● Implement a Deep Neural Network to recognize handwritten digits. ● Cat vs., Dog Kaggle Challenge.
  • Natural Language Processing:
    NLP Basics:
    • What are NLP and NLTK? ● NLP setup and overview ● Reading the text data ● The Idea Behind Recurrent Neural Network ● LSTMs
  • Implementation:
    • Exploring BBC news Archive. ● Sentiment Analysis

Tools Covered

Who is this PG Diploma in machine learning program for?

The machine learning pg diploma in india program can be pursued by utilized experts who hold B.E or B.Tech., and work in Technology related jobs. In the event that an expert has the necessary capabilities and a longing to speed up their profession in the profoundly remunerating space of AI and Ml, this is the ideal program.

Why choose DataSpace Security?

Admission & Fees

PG Diploma in Machine Learning

42,000 INR
  • Training & Mentorship
  • Flexible Schedule
  • Online LIve Interactive Session
  • Recorded Session After the class
  • World Recognised Certificate
  • DataSpace Academy Lab Access (100+ Videos, 50+ PDF)
  • 3 Months Paid Internship Program after the course

Our Expert

Prakash Ranjan Banerjee Python & Machine Learning Analyst

EXPERTISE ON C,C++,Python Django FrameworkJava,,PHP,PYTHON,SQL,CLOUD COMPUTING,MACHINE LEARNING,DATABASE ADMIN,Augmented Reality & Virtual Reality.Cyber Security

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