Data Science with Analogies, Algorithms and Solved Problems Course includes 1hr19mins video content and enrolled by 14K+ students and received a 4.2 average review out of 5. It's a Free Course. Enroll it before the instructor makes it to the paid course.
Truly understand what Algorithms, Big Data, Machine Learning, and Data Science is.
To understand how these different domains are distinct and how they collaborate as well.
To really understand where these concepts are used using real life analogies.
To understand the different algorithms and their working.
To learn how these algorithms are applied to solve various problems.
Here is a list of few of the topics we will be learning:
• Difference between Data Mining and Deep Learning
• Data and 5 Vs of Big Data
• Types of Attributes
• Outliers
• Supervised learning, Unsupervised learning, Reinforcement learning
• Python Libraries
• CNN, RNN, LSTM
• K – means Clustering Algorithm
• Bayesian Algorithm, ID3 Algorithm
• Simple Linear Regression
• Anaconda
• Visualization
Who this course is for:
- People/Researchers interested in machine learning
- Technologists who are curious about how deep learning really works
- Any student willing to begin a career in machine learning
- People who want to brush up their basics.
Can I download Data Science with Analogies, Algorithms and Solved Problems course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Data Science with Analogies, Algorithms and Solved Problems course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
