Python & ML Online Course
Duration
45 Hours including Practical
Eligibility
Undergraduates, Graduates
Post-Graduates
Job Aspirants
Pre-requisites
Basic Computers
OVERVIEW & PURPOSE
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis
OBJECTIVES
- To understand the concepts and constructs of Python
- To create own Python programs, know the machine learning algorithms in Python and work on a real-time project running on Python
Python Environment Setup and Essentials:
Introduction to Python Language, features, the advantages of Python over other programming languages, Python installation, Windows, Mac & Linux distribution for Anaconda Python, deploying Python IDE, basic Python commands, data types, variables, keywords and more.
Python language Basic Constructs
Built-in data types in Python, tabs and spaces indentation, code comment Pound # character, variables and names, Python built-in data types, Numeric, int, float, complex, list tuple, set dict, containers, text sequence, exceptions, instances, Â classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug, basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise, loop and control statements, while, for, if, break, else, continue.
OOP concepts in Python
How to write OOP concepts program in Python, connecting to a database, classes and objects in Python, OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation, Python functions, return types, and parameters, Lambda expressions, connecting to database and pulling the data.
Database connection
Understanding the Database, need of database, Installing MySQL on windows, showing databases available in MySQL Database Server, creating a Database in MySQl Workbench and showing it, understanding a MySQL Connector, understanding Database connection using Python.
NumPy for mathematical computing
Introduction to arrays and matrices, indexing of array, datatypes, broadcasting of array math, standard deviation, conditional probability, correlation and covariance.
SciPy for scientific computing
Introduction to SciPy and its functions, building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.
Matplotlib for data visualization
How to plot graph and chart with Python, various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
Pandas for data analysis and machine learning
Introduction to Python dataframes, importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe, various data operations like selecting, filtering, sorting, viewing, joining, combining, how to handle missing values, time series analysis, linear regression.
Exception Handling
Introduction to Exception Handling, scenarios in Exception Handling with its execution, Arithmetic exception, RAISE of Exception, what is Random List, running a Random list on Jupyter Notebook, Value Error in Exception Handling.
Multi Threading & Race Condition
Introduction to Thread, need of threads, what are thread functions, performing various operations on thread like joining a thread, starting a thread, enumeration in a thread, creating a Multithread, finishing the multithreads. Understanding Race Condition, lock and Synchronization with lock.
Packages and Functions
Intro to modules in Python, need of modules, how to import modules in python, the import statement, locating a module, namespace and scoping, arithmetic operations on Modules using a function, Intro to Search path, Global and local functions, filter functions, Packages, Python Packages, import in packages, various ways of accessing the packages, Decorators, Pointer assignments, and Xldr.
Web scraping with Python
Introduction to web scraping in Python, the various web scraping libraries, beautifulsoup, Scrapy Python packages, installing of beautifulsoup, installing Python parser lxml, creating soup object with input HTML, searching of tree, full or partial parsing, output print, searching the tree.
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I learn here many concepts easily.
I like teaching method of it's faculty.
Each and every students are observed individually. Training and job are also provided here .All the students who join this institute don't regret.
Thankq Samyak.
and external gratitude for the possibilities, opportunities and continual growth and contributionSuch an awesome privilege to be a part of this team. The encouragement and growth that I get from working in this environment is awesome. Such gratitude, thank you Samyak
The main point of this program is they immidiately bring the necessary changes in the course curriculam to keep the course updated with the changing technology.and systems are also updated highly experienced staff produce creative qualities in students.
Well manage institute.
Every IT and computer science field and computer related students must join in samyak computer classes.
Students have lot of skills and perform best in technical field after completing education in this institute.
It fulfill all the requirement of computer education.
Good staff.
Good management.
