🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training
This Edureka video on ‘Selecting The Correct Predictive Modeling Technique’ covers the various deciding factors to choose the correct predictive modeling technique. Following are the topics discussed:
00:00 – Introduction
00:51 – What is Predictive Analysis?
02:58 – Predictive Analysis Techniques
06:37 – Choosing a Predictive Analysis Technique
09:03 – Predictive Analysis Models
Python Tutorial Playlist: https://goo.gl/WsBpKe
Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
Blog Series: http://bit.ly/2sqmP4s
———————————————————————————————————-
🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/
#PythonEdureka #Edureka #predictiveanalysis #machinelearning #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #machinelearningTutorial
———————————————————————————————————-
How it Works?
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.
———————————————————————————————————-
Why Learn Machine Learning using Python?
Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the ‘Roles’ played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
———————————————————————————————————-
Who should go for this Machine Learning Certification Training using Python?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
‘Python’ professionals who want to design automatic predictive models
———————————————————————————————————-
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free)
6 Comments
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: http://bit.ly/2OpzQWw. Use code YOUTUBE20 for exclusive discounts.
I have an assignment. ..
My Data is : rainfall level, temperature, humidity, number of cases of malaria disease by month for the last 5 years.
My goal: forcasting the cases so I can predict the number of cases for the next 2 years.
Problem: I don't know if there is +/- correlation between cases and rainfall levels, temp and humidity
What is the most suitable technque and model and why?
I think it's either time series or forcasting or both 😅 I'm confused with those 2. .
For the prediction of CO2 emission with only emission rate and year as predictors which model is the best..
Which is the best model to predict the forest type cover for the train data
Which the best technique to pridect the QOS of services in microservice architecture please
Thank you, Wasim for a wonderful explanation. I am learning ML and I am completely fascinated by the impact and opportunities ML brings to different fields and applications. I am trying to choose a model that can predict the power of solar systems as a function of temperature, irradiance, cloud ceiling, season, and humidity. Watching the video, I understand that linear regression is probably the best option. But what other methods/models I can use for comparison to find the best model for solar power production. Please advise. Many thanks again.