For students, we are having online classes both technical and coding using interacting net meeting software.
Deep Learning python Bangalore
DHS’s Diploma in deep learning python training online course offers an in-depth overview of ML topics, including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification, and time series modeling. You will also learn how to use Python to draw predictions from data.
- You will learn how to navigate in the Jupiter notebook interface
- You will learn how to make basics
- You will learn about the basic structure of python including packages
- You will learn how to perform basic commands in the python programming language
Online Instructor-led Courses Coverage:
- Introduction to AI and Machine Learning
- Data Preprocessing
- Supervised Learning
- Feature Engineering
- Supervised Learning: Classification
- Unsupervised Learning
- Time Series Modeling
- Ensemble Learning
- Recommender Systems
- Text Mining
- Graphs & Confusion Matrix
DHS’s Machine Learning certification course is meant for:
- Data analysts looking to up skill
- Data scientists engaged in prediction modeling
- Any professional with Python knowledge and interest in statistics and math Business intelligence developers
- Master the concepts of supervised and unsupervised learning, recommendation engine and time series modeling
- Gain practical mastery over principles, algorithms, and applications of machine learning through hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
- Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
- Implement models such as support vector machines, kernel SVM, naïve Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
- Validate machine learning models and decode various accuracy metrics.
- Improvethefinalmodelsusinganothersetofoptimizationalgorithms, which include boosting &and bagging techniques
- Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning
This course requires an understanding of:
- Statistics
- Mathematics
- Basic Python programming
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