Our Courses
Machine Learning
Terms & Conditions
Charges for the Training is NON REFUNDABLE, NON TRANSFERABLE, NON-EXTENDABLE.
Timings & Dates may vary.
In case of cancellation of Training from our side, the participants of the cancelled Training will be given an option to be upgraded to another Training. If the offer is denied by them, only then will they be considered for a refund.
If In Any Case training is cancelled by Organizers due to any reason, we will refund the fee after deducting Bank Changes.
If you are not satisfied with our teaching,then drop us email at info@smartcodingg.com
Refund will be in 3 stages:
Verification>>Approval>>Bank Credit through the same mode of payment.
Cash refund is NOT possible under any circumstance.
We are not responsible for any software failing to run/install on the participant's laptop owing to different configurations in laptops.
If you are not satisfied with the quality of services provided during the Training, drop us a mail @ info@alvinitsolutions.in
- Live classes will be conduct from Monday-Friday. You Will Also Get Life Time Access of Recorded Sessions.
- Code files will be provided.
- 2+ Live Projects
- Query solving sessions
- Certification of Completion
What you will take after course?
Machine Learning Syllabus
Machine learning has given the computer systems the abilities to automatically learn without being explicitly programmed. But how does a machine learning system work? So, it can be described using the life cycle of machine learning. Machine learning life cycle is a cyclic process to build an efficient machine learning project. The main purpose of the life cycle is to find a solution to the problem or project.
Machine Learning
Machine Learning Applications
Life cycle of Machine Learning
Install Anaconda & Pythonbr
AI vs Machine Learning
How to Get Datasets
Data Preprocessing
Supervised Machine Learning
Unsupervised Machine Learning
Supervised vs Unsupervised Learning
Supervised Learning
Regression Analysis
Linear Regression
Simple Linear Regression
Multiple Linear Regression
Backward Elimination
Polynomial Regression
Classification
Classification Algorithm
Logistic Regression
K-NN Algorithm
Support Vector Machine Algorithm
Na�ve Bayes Classifier