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Program Overview

Class Mode

Online | Interactive Live sessions

Eligibility Criteria

No Eligibility Criteria. Basic concepts provided by us

Course Fees

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Lifetime Access (50+ pdf, 100+ videos)


24X7 Round the clock doubt clearing session


World Recognised Certificate

Course Module

  • Python
    • Installation of Jupyter Notebook or any interphase
    • Data Types and Variables
    • Control flow statements
    • List
    • Tuple
    • Dictionary
    • User-defined Functions
    • Exceptional Handling
    • File handling
    • Python Date and Time
    • Numpy and its operations
    • Pandas and its operations
    • Matplotlib and its operations
    • Descriptive statistics
    • Understanding distributions and plots
    • Univariate statistical plots and usage
    • Bivariate and multivariate statistics
    • Introduction to probability
    • Addition and multiplication rule
    • Bayes theorem
    • Binomial and normal distribution
    • Poisson probability function
    • Normal distribution function
    • Matrix algebra
    • Matrix operations
    • Inverse of a matrix
    • Orthogonality of a matrix
    • Dot Product
    • Transpose
    • Eigen value
  • Data Preprocessing
    • Machine Learning Categories
    • Importing the Libraries
    • Importing the Dataset
    • Taking care of Missing Data
    • Encoding Categorical Data
    • Splitting the dataset into the Training set and Test set
    • Feature Scaling- Normalization , Standerdization
  • Machine Learning
    • What Is Machine Learning
    • Machine Learning Use-cases
    • Machine Learning Process Flow
    • Machine Learning Categories
    • Linear Regression, Gradient Descent, Supervised Learning: Implementation Of Logistic - Regression
    • Decision Tree
  • Introduction To Matplotlib
    • Matplotlib Library
    • Grids, Axes, Plots, Markers, Fonts And Styling, Types Of Plots — Bar Graphs, Pie Charts, Histo- Grams,contour Plots.
  • Supervised Learning
    • Regression
    • Simple Linear Regression
    • Gradient descent
    • Multiple Linear Regression
    • Polynomial Regression
    • EDA
  • Classification
    • Logistic Regression
    • K-Nearest Neighbor
    • Naive Bayes
    • Decision Tree Classification
    • Random Forest Classification
    • Confusion Matrix
  • Unsupervised Learning
    • K-Means Clustering
  • Dimensionality Reduction
    • Principal Component Analysis (PCA)
    • Association Rule-Apriori or Eclat
  • Deep Learning
    • Artificial Neural Networks
    • The Neuron
    • The Activation Function
    • Gradient Descent
    • Stochastic Gradient Descent
    • Min batch GD
    • Convolutional neural networks
    • ReLU Layer
    • Pooling
    • Flattening
    • Full Connection
    • Softmax & Cross-Entropy

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Skills covered

  • Iterators
  • Generators
  • Exception Handling
  • OOPs Concepts
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Tools covered

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What We Offer

Our Training Options

This course explores the fundamentals of machine learning using Python, a user-friendly and well-known programming language. We will discuss two key elements in this course: You will first discover what machine learning is used for and how it works in practise. You will also learn about machine learning in general, including supervised vs. unsupervised learning, model evaluation, and machine learning algorithms.

Basic Plan

Certification in Machine Learning using Python
Max 3 Person in a batch
Flexible Schedule
Online LIve Interactive Session
Recorded Session After the class
World Recognised Certificate
DataSpace Academy Lab Access (100+ Videos, 50+ PDF)
3 Months Internship Program after the course


Learn to crack job interviews with success and make a positive impression at workplace with our Add-on Packages

Complimentary Session

4 Days 8 Hour


Behavioural Skills

First impression know-how

Introduction to Corporate Communication

DataSpace Academy's

Upcoming Batch Schedule

  • Flexible batches for you
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Our Instructors

Why Python 

For Machine Learning?

You can get machine learning python course completion certification from taking up the course which you can partake in the Certifications segment of your LinkedIn profile, on printed resumes, CVs, or different records.Advantages that make Python the best fit for AI and AI-based ventures incorporate straightforwardness and consistency, admittance to extraordinary libraries and systems for AI and AI (ML), adaptability, stage autonomy, and a wide local area. Individuals will pay an insane amount of cash to employ individuals that are knowledgeable in the language. So in the event that you’re one of them, you have your karma on your part.

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Why should you choose
Dataspace Academy

Degrees in cyber security are more popular than ever. Hackers and cyberterrorists have limitless chances to exploit individuals, government institutions, and even major corporations since we live in the digital age. Top companies are willing to pay a high price for cyber security professionals who can protect their data and eliminate vulnerabilities in order to defend against cyber attacks and security breaches. DataSpace Academy is bringing the opportunity to learn cybersecurity courses from expert professionals. Mentoring sessions with industry experts, as well as individualized attention in small groups of 5-6 students. Get hands-on experience by working on projects that are relevant to your industry.

  • We provide information about the latest IT sector development and also give them the chance of learning by doing. We train our students to identify vulnerabilities of a system and also the protective steps to counter the problem.
  • We have experienced faculties to help our students get the most extensive practical training in our certification course in ethical hacking.
  • We provide the information and skill to the students to excel in job interviews and build a successful career.


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Got any Questions?

  • What is the definition of ethical hacking?

    Ethical hacking is when a person is allowed to hack a system with the approval of the merchandise owner in order to find flaws in the system and then fix them.

  • What does a Certified Ethical Hacker make?

    Penetration testers and security or cybersecurity experts earn an average of $87,000 a year, according to PayScale. CEHs can make up to $125,000 in specific cybersecurity professions, depending on where they live, their years of experience, and their degree.

  • What are the types of Ethical Hackers?

    The types of Ethical hackers are :
    Grey Box Hackers
    Black Box Penetration Testers
    White Box Penetration Testers

  • What are the tools used for ethical hacking?

    The most popular ethical hacking tools are listed below:
    John the Ripper

  • What are the different types of hacking?

    Based on the category of being hacked, hacking is divided into different types as follows:
    Website hacking
    Network hacking
    Email hacking
    Password hacking
    Computer hacking