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Machine Learning & Data Science : Python Practical Hands-on
![item image](https://img-c.udemycdn.com/course/480x270/3340172_034c_2.jpg?Expires=1624048654&Signature=W55P4EApZ8auedMqK9F2kHlrAX3vA0xleOxmBUnBCwQv-CNH4SIkZSgprTDijBfpjGSDeA7iLXD9iIR7~SDsgps0LF1BdPPbwT-b0D31wf5JTmJD1yzN2NK7m96YJF6lWQsuG5yN1ghsHM-1RCKmFZUJSFum~37D52FHdgEWOZYlKwPO~TdqZPcswklmk74dcJ4S6E63TYg2V1XWuMbfOlFzOo6SqLUiW~ScFJBVaW9Dvs3h6H1PfjixOo~HBzNvTX3tBZa-m4qtgxXU8mLOrMKOlUAEl-ZIhx-CW0Q1MnLEazIz17ihd83s6dyoRYzldGqglZ-~o2n22D7y8QD5Yw__&Key-Pair-Id=APKAITJV77WS5ZT7262A)
Price: $19.99
Interested in the field of Machine Learning? Then this course is for you!
Designed & Crafted by AI Solution Expert with 15 + years of relevant and hands on experience into Training , Coaching and Development.
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Complete Hands-on AI Model Development with Python.
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Course Contents are:
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Fundamentals of Machine Learning
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Machine learning project Life Cycle
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Supervised & Unsupervised Learning
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Data Pre-Processing
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Algorithm Selection
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Data Sampling and Cross Validation
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Feature Engineering
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Model Training and Validation
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K -Nearest Neighbor Algorithm
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K- Means Algorithm
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Accuracy Determination
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Visualization using Seaborn
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You will be trained to develop various algorithms for supervised & unsupervised methods such as KNN , K-Means , Random Forest, XGBoost model development.
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Understanding the fundamentals and core concepts of machine learning model building process with validation and accuracy metric calculation. Determining the optimum model and algorithm.
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Cross validation and sampling methods would be understood.
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Data processing concepts with practical guidance and code examples provided through the course.
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Feature Engineering as critical machine learning process would be explained in easy to understand and yet effective manner.
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We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
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Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
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