Python for Machine Learning -Self Learning Course

  • Admin bar avatar
    Anshu Pandey
  • 2001 (Registered)
  • (0 Reviews)

Featured Video Play Icon

Course Overview

Python is one of the most preferred programming languages when it comes to Data Science, Machine Learning and Deep Learning related applications. Becuase of the good community support, high level and high-performance packages available in python and the packages which can run on GPU, python is the first choice of the Data Scientists across the world.

Packages like numpy, pandas, matplotlib, seaborn and scikit-learn make python the easiest and the most powerful among all programming languages for Data Science and Machine Learning.

This course is designed to make a learner get understanding of python programming from basic to advance to get started with Data Science and Machine Learning.

Course Objective

This course specially designed for those want to start their career in the field of machine learning, Data science, data analytics and they do not have any experience in coding.

The course covers basics to advance of python, and working with pandas, matplotlib, numpy and seaborn, the learner will get to learn with some interesting case studies and projects.

Course Outcome

  • The participant will understand the power of Python Programming language,
  • He/She will become ready to go for the advanced courses, i.e. AI, Machine Learning, Deep Learning and Data Science

Prerequisites

  • No prerequisites required

Course Curriculum

Curriculum is empty

Instructors

Admin bar avatar
A Technical expert and a passionate trainer has expertise in the field of Artificial Intelligence, Machine Learning and IoT, he has a proven work record of delivering more than 100+ workshops and Technical Training in various technologies and domains at the top MNCs, premier organizations including IITs, NITs and other premier educational organizations. He has delivered 50+ corporate Training to clients from India and abroad. Skills- Programming Languages: Python, Arduino, R, MATLAB Scripting Languages: HTML, JS, CSS AI Skills: Machine Learning – Linear & Logistic Regression, Clustering, Artificial Neural Networks, SVM, Genetic Algorithm, Fuzzy Logic, Natural Language Processing, PCA, CNN, LSTM AI, ML Tools & Platforms: Python, Tensorflow, Keras, Azure ML, AWS, Apache Spark Hardware: Arduino, Raspberry Pi, AVR, Intel Edison, Xbee, LoRaWAN IoT Platforms: AWS IoT, Thingworx, ThingsBoard, IBM Watson IoT, ThingSpeak, myDevices, Twilio, node-red, Ubidots, PubNub, IoT Gateway

Reviews

0
0 rating
5 stars
0
4 stars
0
3 stars
0
2 stars
0
1 star
0