SYLLABUS Python with ML
Machine learning with Python Basics 4 Topics
What is machine learning?
Need for machine learning
Machine learning Model
Applications of machine learning
Machine learning with python- Python Ecosystem 4 Topics
An Introduction to Python
Strength and weakness of python
Jupyter Notebook
Types of cells in Jupyter Notebook
Methods for machine learning 2 Topics
Different types of Methods
Tasks suited for machine learning
Data Loading for ML Projects 4 Topics
Consideration while loading CSV data
Methods to load CSV Data File
Load CSV with Numpy
Load CSV with Pandas
Understanding Data with statistics 5 Topics
Introduction
Looking at Raw Data
Checking Dimension of Data
Getting each attribute Data Type
Statistical summary of Data
Understanding data with visualization 6 Topics
Introduction
Understanding attributes
Density Plots
Box and whisker plot
Correlation matrix plot
Scatter matrix plot
Preparing Data 7 Topics
Introduction
Why data Pre+Processing Techniques
Normalization
Types of Normalization
Binarization
Standardization
Data Labeling
Simple Linear Regression 4 Topics
Introduction to Regression
Line representation
Implementation in Python- importing Libraries and datasets
Distribution of Data
Multiple Linear Regression 4 Topics
Understanding Multiple linear regression
Exploring the Dataset
Encoding Categorical data
Predicting the test set result
Supervised Learning 9 Topics
Example of KNN
KNN using Python
Splitting data into train and test sets
Deaturing scaling
Importing the KNN classifier
Naive Bayes
SVM
Decision Tree
Random Forest
Unsupervised Learning 7 Topics
Introduction to Clustering
K-means clustering algorithm
Elbow method
Hierarchical clustering
Importing the dataset
Visualization of dataset
PCA
What you'll learn Python with ML
- Master Machine Learning on Python
- Make Powerful Analysis
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
- Clean your input data to remove outliers
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About Python with ML Course in faq
This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.
With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms.
Exam & Certification Python with ML
An online verifiable certificate of completion will be issued based on your performance from ISPL Academy. Student would go through an online examination after completion of the course to evaluate the skills gathered during the course.
Competition is tough when applying for a job, having a proof of successful completion of the course is an effective way to stand out and succeed. Your certificate will give the trust to the employers that you are dedicated and have required skills to become a suitable employee for them.
Frequently Asked Questions
What is the duration of course Python for ML?
Python for ML is a short term course of 3 months.
What is the fee of Python for ML?
The course fee of Python for ML is Rs.18000/-
Can I Pay my Fee in Installments?
Yes, you can pay your fee in easy monthly installments.
Where is ISPL Academy located?
ISPL Academy is located at Shanti Vihar, GMS Road, Dehradun, Uttarakhand INDIA and at Tilak Road, Dehradun.