WHAT WILL YOU GET?
1. Step by step concepts and code implementation as Jupyter Notebooks.
2. Input data-set to practice.
Python With Pandas
Pandas is a Library in Python which is very useful as it provides relational database kind of structure for handling data. It is widely used for data manipulation.
Pandas is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Data Science &
Machine Learning With
Python with certification
instructor led course
Unlock your potential as a Data Scientist and carry out Machine Learning tasks with Agilytics.
The journey starts by getting an understanding of Python language and libraries, writing the scripts using the Jupyter-based lab environment.
You will elevate your Python skills to a new level with this interactive, hands-on course and establish your mastery of Data Science and analytics techniques using Python programming.
You will master Machine Learning techniques, including supervised and unsupervised learning and hands-on modeling rounding out your Data Science education.
You will be building informative, useful and beautiful visualizations dashboards using Matplotlib and Seaborn libraries in Python.
You will get complete study material of Jupyter Notebooks, Data-sets, Presentations along with online classes via video conferencing.
Hands-on Data Analytics
with Scikit-Learn & Tensorflow
This training assumes that you know close to nothing about Data Analytics. Its goal is to give you the concepts, the intuitions, and the tools you need to actually implement programs capable of learning from data.
We will cover a large number of techniques, from the simplest and most commonly used such as linear regression, to some of the Deep Learning techniques that regularly win competitions using actual production-ready Python frameworks
It implements many Data Analytics algorithms efficiently
It is a complex library for distributed numerical computation using data flow graphs. It makes it possible to train and run very large neural networks efficiently by distributing the computations across potentially thousands of multi-GPU servers.
Web Scraping in easy steps using Python
A web-page is a piece of HTML code which is sent by the Web Server to our Browser, which in turn converts into the beautiful page. Now, to get some selected tags or items we need to get hold of this html page.
In this course, you will learn how to extract information within the html tags using Python programming language.
As part of this learning you will scrape a live website and try to access the required information from it in a step by step process, which can be divided into following three parts: -
1. Requesting a web-page
2. Analyzing the tags
3. Getting the required content.