MACHINE LEARNING at CETPA Infotech Pvt Ltd Overview
Duration | 60 hours |
Mode of learning | Online |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
MACHINE LEARNING at CETPA Infotech Pvt Ltd Highlights
- Earn a certificate after completion of the course
- Placement Facilitation
MACHINE LEARNING at CETPA Infotech Pvt Ltd Course details
- Python Libraries for ML
- Supervised ML & Unsupervised ML
- Mathematical Background for ML- Matrix ops Probability Theory (Bayes’ Theorem)
- Statistical knowledge for ML- Mean, Median, Mode, Z-scores, bias-variance dichotomy
- ML libraries Explained: Scipy, Numpy, Matplotlib
- Data Split & Hyper-Parameter Training
- Pre-processing Data and Feature Engineering
- Exploratory Data analysis using Visualization
- Different types of Regression: Linear and Logistic
- Online Machine Learning Training Course in Noida at CETPA assists the learners in becoming the best-fit Machine Learning working professionals
- Our professional level training helps you to gain knowledge of concepts like Naive Bayes Classification, Support Vector Machines, Decision Tree Algorithms, Logistic Regression, K-Means Clustering and more
MACHINE LEARNING at CETPA Infotech Pvt Ltd Curriculum
MODULE 1: MACHINE LEARNING
Introduction to ML
Introduction to Supervised ML
MODULE 2: TOOLS REQUIRED FOR DEVELOPMENT – ANACONDA, JUPYTER NB/GOOGLE COLAB/SPYDER
ML Libraries
NumPy: Introduction to NumPy
MODULE 3: STEPS OF MACHINE LEARNING
Data Collection. The Quantity & Quality of your data dictate how accurate our model is
Data Preparation. Wrangle data and prepare it for Training Data Wrangling using Pandas
Pre-processing
MODULE 4: SUPERVISED LEARNING
Introduction/Maths behind Supervised Machine Learning and Algo.
MODULE 5: REGRESSION:
Linear Regression
Multi-Linear Regression
MODULE 6: CLASSIFICATION
Logistic Regression
KNN-K Nearest Neighbours
MODULE 7: UNSUPERVISED MACHINE LEARNING
Introduction: Mathematics behind Clustering
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MACHINE LEARNING at CETPA Infotech Pvt Ltd Contact Information
D-58, Sector-2,
Near-RED FM, Gautam Buddha Nagar
Noida ( Uttar Pradesh)
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