Machine learning is a subset of Artificial Intelligence. Machines have the capability of learning on their own based on observations and experiences when huge data is fed to interpret. Machine Learning uses Deep learning in combination with statistical tools and models to train machines to build a self-learning capability.
Why should you enroll in this bootcamp?
- Machine Learning Engineers are one of the highly paid Engineers in the Industry.
- Machine learning enables machines to learn and improve the algorithms on their own thus eliminating human intervention.
- Every domain has a huge scope of applying machine learning which opens many opportunities for Machine Learning Data Scientists in every domain.
1
Data Manipulation with Pandas
2
Exploratory Data Analysis
3
Data Manipalation, Missing value treatment
4
Outlier Detection and Feature Engineering
5
Supervised Learning
6
Linear regression
7
Multiple Linear regression
8
Logistic regression
9
Unsupervised Learning
10
Clustering and Pricipal Component Analysis
11
NLP in Python
12
Data visualization with Matplotlibs
13
Web Scrapping
14
Machine Learning Modelling Flow
15
How to treat data in Machine Learning
16
Naive Bayes Classifier
17
Performance Measures
18
Over fitting and underfitting
19
Optimization Techniques
20
Time series Forecasting
21
Dimensionality reduction
22
K- nearest Neighbour
23
Decision Tree
24
Support Vector Machine
25
Image Detection and Image Analysis
26
Under Fitting and Over Fitting
27
Ensemble Learning Models
28
ANN Overview
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