Machine learning Live weekend online Training for san Diego-Feb 16th to Feb...

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Strategism Inc

39355 California Street, Suite 300

Fremont, CA 94538

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Machine learning training Course:

Artificial Intelligence is on a boom. Its roots are in the Machine Learning languages that is why there is an increasing demand for skilled machine learning engineers across all industries, making this Machine Learning certification course well-suited for participants at the intermediate level of experience.

Machine Learning certification course that is offered at Strategism has been divided has the following itinerary:

  • WEEK 1: REGRESSION AND CLASSIFICATION

Just enough Python for machine learning – A quick overview of Python as related to machine learning. Demonstrate introductory programming concepts using Python and NumPy as a tool to navigate data sources and collections Linear Regression -Use scikit learn and statsmodels to run linear and logistic regression models and learn to evaluate model fit Regression Metrics;Train/Test Split + Cross Validation; Intro to Classification + KNN; – Classification models through an application of the KNN algorithm Logistic Regression -Learn to apply regularization and optimization when evaluating model fit

WEEK 2: TREE CLASSIFIERS

Decision Trees I (Lab), Bagging; Random Forests, Boosting; Ensemble -Build and evaluate ensemble models, using decision trees, random forests, bagging, and boosting

WEEK 3: UNSUPERVISED LEARNING

Intro to Unsupervised Learning; ; Hierarchical Clustering; PCA; DBSCAN – Define clustering and its advantages and disadvantages from classification models

WEEK 4: NEURAL NETWORKS AND DEEP LEARNING

Keras; Convolutional Neural Networks; Intro to Tensorflow -Learn the differences between different types of neural networks and demonstrate how they can be used in prediction and regression problems.

Have more questions,

Call us now @ 877-648-0004 (or) Email us @ contact@strategisminc.com

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Strategism Inc

39355 California Street, Suite 300

Fremont, CA 94538

View Map

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