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Machine Learning & Data Science with Python

Home Course Machine Learning & Data Science with Python
Machine Learning & Data Science with Python

Machine Learning & Data Science with Python

Course Price: ৳ 25000 ৳ 12500

  • Course Duration: 4 Months Course with Project

    Weekly: 2 Days

    Why we are best ?

    1)  International Faculty 

    2) Online Live Interactive Class

    3) Industrial Experts

    4) Project Oriented Class

    5)  Job Oriented Training 

    6)  Priority Basis Intern Facilities

    7) Freelancing Support 

      Focused Job Roles: 
    1. Data Scientist, ML Engineer
    2. Environment Setup

      a)Python 3 Installation

      b)Visual Studio Code Installation

      c)Jupyter

      d)Git Installation

      e)GitHub


      Core Python:

      a)Why Python?

      b)Input & Output

      c)Variables and Datatypes

      d)Adv. Datatypes list, tuple, dictionary & Set.

      e)String Formatting

      f)Operators

      g)Conditional Statements- If, Elif, Else.

      h)Loops: While, For

      i)Function and Arguments

      j)Lambda Function

      k)Map, Reduce, Filter

      l)Project Online Banking System


      OOP Python:

      a)Why OOP?

      b)Classes and Objects

      c)Features

      d)Encapsulation

      e)Abstraction

      f)Inheritance

      g)Polymorphism

      h)Implementation with Python

      i)Project Online Banking System using OOP


      Adv. Python:

      a)File Handling

      b)Exception Handling Try, Except, Else, Finally

      c)Standard Libraries: Math, OS, datetime

      d)Regex

      e)User defined Module, Packages.

      f)Project- File System


      Data Mining:

      a)Requests 

      b)BeautifulSoup

      c)Extracting Data from Websites

      d)Parsing Data

      e)Project- Web Scraping


      Statistics:

      a)Why Statistics?

      b)Descriptive Statistics

      (i)Variables: Qualitative, Quantitative, Discrete and Continuous.

      (ii)Population, Sample, Random sample

      (iii)Measures Of Centre: Mean, Median, Mode, Mid-Range

      (iv)Measures Of Spread: Range, Inter-quartile range, Variance, STD, Outliers.

      (v)Correlation

      (a)Inferential Statistics

      (i)Hypothesis Testing


      Data Science:

      (a)NumPy High-dimensional array Computing.

      (b)Pandas  Data Manipulation


      Data Visualization:

      (a)Matplotlib Data Visualization

      (b)Seaborn Data Visualization for ML & DS

      (c)Course Assignment


      Machine Learning:

      (a)Why Machine Learning?

      (b)Supervised Machine Learning

      (i)Regression and Classification

      (1)Linear Regression

      (2)Gradient Decent Algorithm

      (3)Polynomial Regression

      (4)K-Nearest Neighbors 

      (5)Decision Tree 

      (6)Random Forest 

      (7)Support Vector Machine 

      (8)Logistic regression

      (9)Naive Bayes

      (c)Un-supervised Machine Learning

      (d)Practice Projects- 

      (a)CO2_Emission and Concrete Strength Prediction

      (b)Flower Classification and Diabetes Prediction


      Bonus:

      (i)Power BI


      Project:

      (i) Image Recognition