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Since Python is Highly popular among MNCs, it is easy to find relevant job opportunities in Bangalore.
Python is the future of AI and Machine Learning – Adrian Rosebrock, Author of 'Deep Learning for Computer Vision with Python'
Average Salary of Python Developer in Bangalore is INR 16,00,000 per year- Glassdoor.
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With Edureka’s Python certification training in Bangalore, you will get hands-on experience in programming. We offer live-instructor led sessions which will help you in mastering the concepts involved in Python. With Edureka’s Python training in Bangalore, you will learn the essential concepts of Python programming such as Data Structure, Data types, Strings, tuples, lists, basic operators and functions, GUIs, Multi-threading, Data Manipulation, Expressions, Networking, Lambda expressions and much more. Also, Gain a thorough knowledge of Python OOPS concepts, modules Extensive coverage of Django Framework Database programming and connectivity to multiple data sources
Python is a common high-level, open-source programming language with a broad spectrum of apps for games and web applications in automation, big data, data science, information analytics development. It's a versatile, powerful, object-oriented and interpreted language. Python is regarded to be a programming language with the greatest amount of work possibilities Researchers have named Python 'the next large thing' as it is preferred by many young and experienced designers and is a heavily paid skill among all programming languages in the IT space. Edureka’s Python certification course in Bangalore provides an extensive Python Course training to assist you to master basics, sophisticated theoretical ideas such as writing scripts, sequence and file procedures in Python while gaining practical experience with functional apps as the training is combined with hands-on tasks and live projects.
It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.
Watch Lesson 1 (Recorded)
Module 1: Introduction to Python
Before enrolling to the course, we can ask 'n' number of doubts & I ensure you will get apt answers from the staff. Another thing which I liked about Edureka is, the batches are available in very convenient time slots. For Example : If one can devote daily 1-2 hours, can go for a daily batch. Never the less, professionals can go for a weekend batch. Also trainers are with excellent background from industry & contain good amount of experience. All the queries & doubts asked during as well as after the session are clarified, which helps to understand the concept in much deeper way.
Let me start of by congratulating the entire Edureka team for putting together such an amazing content for their courses. I am enrolled in their self paced and live batches courses and my learning experience has been phenomenal. I tried learning Linux Administration on my own but in every attempt i hit a dead end. However, I learned Linux Administration from the very best. The quality and experience of the instructor are excellent and this reflects in his high quality post lecture hands on projects and assignments. I must also take this opportunity to thank the support staff for prompt doubt solving via their student forums. I am a permanent member of theirs and will continue to learn from Edureka.
Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.
Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!
I am thankful to Edureka which is one of the best Educational organization. I have undergone two highly rated courses (Big data and Hadoop, Spark and Scala). Now i am doing well with the stuff learnt, after getting certified for big data and hadoop, I'm getting many offers from many companies. After the great experience of learning hadoop technology, I am now keen to enroll for Data science course. I hope i get the same learning experience which i got while undergoing my previous courses. I heartily thank edureka for helping me to make my career. The overall team [Trainers, support team, online support team] is the best.
Clean, simple and a fantastic learning resource. The courses are a great resource for personal development and continual learning. They are well structured and provided both ease of access and depth while allowing you to go at your own pace.Support team people is also really very cooperative and helps out at there best.
Industry: Social Media
Problem Statement: You as ML expert have to do analysis and modeling to predict the number of shares of an article given the input parameters.
Actions to be performed:
Load the corresponding dataset. Perform data wrangling, visualization of the data and detect the outliers, if any. Use the plotly library in Python to draw useful insights out of data. Perform regression modeling on the dataset as well as decision tree regressor to achieve your Learning Objectives. Also, use scaling processes, PCA along with boosting techniques to optimize your model to the fullest.
Problem Statement: You as an ML expert have to cluster the countries based on various sales data provided to you across years.
Actions to be performed:
You have to apply an unsupervised learning technique like K means or Hierarchical clustering so as to get the final solution. But before that, you have to bring the exports (in tons) of all countries down to the same scale across years. Plus, as this solution needs to be repeatable you will have to do PCA so as to get the principal components which explain the max variance.
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