For students, we are having online classes both technical and coding using interacting net meeting software.
5 students / batch
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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