Master the basics of Machine Learning in Python Course. Join now to learn under a Python and ML expert.
4.2/5
4.8/5
4.6/5
4.3/5
4.5/5Course Duration
50 Hrs.Live Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
200+
Professionals Trained
3+
Batches every month
20+
Countries & Counting
100+
Corporate Served- Machine Learning Using Python is hugely in demand nowadays. It is basically a legit procedure of making the computer analyse from studying data and statistics. Machine Learning is a step into the route of artificial intelligence (AI). Machine Learning is an application that analyses information and learns to predict the outcome. In the IT territory, it has been doing exceedingly well, because of its exceptional offerings, and implementations. In fact, it's genuinely in demand in various sectors as well.
- In recent times, it has made a remarkable place for itself. If you also want to analyse this subject intently, then you should surely get in touch with Croma Campus. Yes, here, you will receive a detailed sort of training.
Here, at Croma Campus, you will receive whole new learning, and accepting environment.
Along with training, you will be assured 100% placement as well.
Moreover, here, you will find more than 140+ courses.
Our trainers will also help you to imbibe its prerequisites as well.
Machine Learning Using Python
- After enrolling in Python Machine Learning courses, you will find out our course content material being developed as per the trendy skills.
By enrolling in our course, you will get the opportunity to imbibe some latest market trends and features.
Our trainers will impart training concerning its basics right at the beginning of the course.
Furthermore, you will be explained about its various types of machine learning.
Our experts will also give you a session of its different algorithms, and implementations.
You will also receive information concerning How statistical modelling relates to machine learning and how to compare them.
They will explain the whole subject with various instances as well.
- To be honest, there is a big demand for Machine Learning in the market, and holding its accreditation will give you opportunities to make good money out of it.
By graduating from our institution, you will end up getting into a good organization.
With having a legitimate certification in hand, you will eventually grab a decent salary package.
Our trainers will also thoroughly train you to crack the interview.
In fact, you will get loads of opportunities to learn new things.
To be exact, you will earn around approximately 8,42,482 and can work as a Machine Learning Engineer professionally.
- By attentively imbibing its details, you will get the opportunity to make positive growth in your career. You might even end up reaching the peak of your career.
By obtaining this accreditation in hand, your chances of getting into a multinational company will increase.
Even working as a freelancer also, you will make a good living out of it.
Moreover, by acquiring experience working in a company, you can end up opening your own start-up.
With imbibing the latest skills, your salary bracket will also increase.
Your market value will eventually increase.
- There are numerous reasons to opt for Machine Learning Using Python course. Moreover, it will give you various chances to learn new things fields as well.
Python Machine learning both are in demand, and imbibing its details, and in-depth information will only boost your career graph. Choosing this direction will be fruitful for your career in numerous ways.
Enrolling in this course will give you a lot of opportunities to imbibe your skills right from the scratch.
Our trainers will help you to imbibe information concerning its basics, Python Ecosystems, and Methods for Machine Learning.
In fact, they will also impart training regarding Data Loading for ML Projects, understanding Data with Statistics, procedure of Data with Visualization.
You will also acquire knowledge of different methods of Machine Learning respectively.
Apart from this, you will always be under the guidance of industry-experts, and they will be there to solve your query.
- Well, a Machine Learning Engineer is entitled to perform a number of tasks. Your duties will also depend upon the kind of project you are indulging in. Some of the main job roles are listed below.
Working as a Machine Learning Engineer will indulge you into constructing ML machines.
In fact, your job role will also include researching and implementing ML algorithms and tools respectively.
Choosing appropriate data sets will also be your foremost job role.
You will be responsible for transforming data science prototypes.
Working with ML libraries will also be your important job role.
You will have to develop Machine Learning based applications as per your clients' needs and requirements.
You will have to take in your team mates suggestions as well.
- Here are some of the top organizations hiring for Machine Learning Engineer:
Amazon, Databricks, TCS, Accenture, IBM, Prolific are the top companies hiring skilled Machine Learning Engineers.
Opting for this specific subject will be really useful for you in numerous ways.
In fact, by means of acquiring this accreditation, your profession graph will get uplifted.
You will collect a highly-secure role for yourself.
You will additionally grab an increase salary package.
- Advantages of getting Certification after complete the Machine Learning Course in Delhi.
You will find our all courses being extensively accepted by the industries.
In fact, here, you will find numerous sorts of courses belonging to different sections.
Along with acquiring this accreditation, you can obtain another accreditation as well.
Graduating from Croma Campus will hugely help you in getting settled in a well-established company.
Your career graph will also get uplifted.
- You May Also Read:
Why you should choose Machine Learning in Python Course?
By registering here, I agree to Croma Campus Terms & Conditions and Privacy Policy
Course Duration
50 Hrs.
Flexible Batches For You
22-Mar-2025*
- Weekend
- SAT - SUN
- Mor | Aft | Eve - Slot
24-Mar-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
-
26-Mar-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
-
22-Mar-2025*
- Weekend
- SAT - SUN
- Mor | Aft | Eve - Slot
-
24-Mar-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
-
26-Mar-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
Course Price :
Expires in: 00D:00H:00M:00S Timings Doesn't Suit You ?
We can set up a batch at your convenient time.
Program Core Credentials
Trainer Profiles
Industry Experts
Trained Students
10000+
Success Ratio
100%
Corporate Training
For India & Abroad
Job Assistance
100%
Batch Request
FOR QUERIES, FEEDBACK OR ASSISTANCE
Contact Croma Campus Learner Support
Best of support with us
CURRICULUM & PROJECTS
Machine Learning with Python Training
- Python Training Curriculum
- Data Analysis and Visualization using Pandas.
- Data Analysis and Visualization using NumPy and MatPlotLib
- Introduction to Data Visualization with Seaborn
- Machine Learning
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Keyword and Identiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
- Variables, expression condition and function
- Global and Local Variables in Python
- Packing and Unpacking Arguments
- Type Casting in Python
- Byte objects vs. string in Python
- Variable Scope
- Declaring and using Numeric data types
- Using string data type and string operations
- Understanding Non-numeric data types
- Understanding the concept of Casting and Boolean.
- Strings
- List
- Tuples
- Dictionary
- Sets
- Statements – if, else, elif
- How to use nested IF and Else in Python
- Loops
- Loops and Control Statements.
- Jumping Statements – Break, Continue, pass
- Looping techniques in Python
- How to use Range function in Loop
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statement
- How to use IN or NOT IN keyword in Python Loop.
- Python Syntax
- Function Call
- Return Statement
- Arguments in a function – Required, Default, Positional, Variable-length
- Write an Empty Function in Python –pass statement.
- Lamda/ Anonymous Function
- *args and **kwargs
- Help function in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantage and Disadvantage
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Random functions in python
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More example of Python Function
- Day, Month, Year, Today, Weekday
- IsoWeek day
- Date Time
- Time, Hour, Minute, Sec, Microsec
- Time Delta and UTC
- StrfTime, Now
- Time stamp and Date Format
- Month Calendar
- Itermonthdates
- Lots of Example on Python Calendar
- Create 12-month Calendar
- Strftime
- Strptime
- Format Code list of Data, Time and Cal
- Locale’s appropriate date and time
- What is List.
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using “+” and Keyword
- List Delete
- List related Keyword in Python
- List Revers
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
- What is Tuple
- Tuple Creation
- Accessing Elements in Tuple
- Changing a Tuple
- Tuple Deletion
- Tuple Count
- Tuple Index
- Tuple Membership
- TupleBuilt in Function (Length, Sort)
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str , Update etc.)
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specic Exception in Python
- Raising Exception
- Try and Finally
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making New Directory
- Changing Directory
- SQL Database connection using
- Creating and searching tables
- Reading and Storing cong information on database
- Programming using database connections
- Installing SMTP Python Module
- Sending Email
- Reading from le and sending emails to all users
- Working With Excel
- Reading an excel le using Python
- Writing to an excel sheet using Python
- Python| Reading an excel le
- Python | Writing an excel le
- Adjusting Rows and Column using Python
- ArithmeticOperation in Excel le.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More example of Python Function
- Check Dirs. (exist or not)
- How to split path and extension
- How to get user prole detail
- Get the path of Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How to get any les and folder’s details using OS
- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les
- How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function
- Using the Excel File class to read multiple sheets More Mapping, Filling
- Nonvalue’s
- Exploring the Data Plotting, Correlations, and Histograms
- Getting statistical information about the data Analysis Concepts, Handle the None Values
- Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
- Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
- Applying formulas on the columns Basic Grouping, Concepts of Aggre
- gate Function
- Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)
- Under sting the Properties of Pivot Table in Pandas Advanced Reading
- CSVs/HTML, Binning, Categorical Data
- Exporting the results to Excel Joins:
- Python | Pandas Data Frame Inner Join
- Under sting the properties of Data Frame Left Join (Left Outer Join)
- Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
- Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
- Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data
- Pandas | How to Group Data How to apply Lambda / Function on Data
- Frame
- Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
- Introduction to NumPy: Numerical Python
- Importing NumPy and Its Properties
- NumPy Arrays
- Creating an Array from a CSV
- Operations an Array from a CSV
- Operations with NumPy Arrays
- Two-Dimensional Array
- Selecting Elements from 1-D Array
- Selecting Elements from 2-D Array
- Logical Operation with Arrays
- Indexing NumPy elements using conditionals
- NumPy’s Mean and Axis
- NumPy’s Mode, Median and Sum Function
- NumPy’s Sort Function and More
- Bar Chart using Python MatPlotLib
- Column Chart using Python MatPlotLib
- Pie Chart using Python MatPlotLib
- Area Chart using Python MatPlotLib
- Scatter Plot Chart using Python MatPlotLib
- Play with Charts Properties Using MatPlotLib
- Export the Chart as Image
- Understanding plt. subplots () notation
- Legend Alignment of Chart using MatPlotLib
- Create Charts as Image
- Other Useful Properties of Charts.
- Complete Understanding of Histograms
- Plotting Different Charts, Labels, and Labels Alignment etc.
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
- Tidy vs Untidy data
- Making a count plot with a Dataframe
- Adding a third variable with hue
- Hue and scattera plots
- Hue and count plots
- Introduction to relational plots and subplots
- Creating subplots with col and row
- Customizing scatters plots
- Changing the size of scatter plot points
- Changing the style of scatter plot points
- Introduction to line plots
- Interpreting line plots
- Visualizing standard deviation with line plots
- Plotting subgroups in line plots
- Current plots and bar plots
- Count plots
- Bar plot with percentages
- Customizing bar plots
- Box plots
- Create and interpret a box plot
- Omitting outliers
- Adjusting the whisk
- Point plots
- Customizing points plots
- Point plot with subgroups
- Changing plot style and colour
- Changing style and palette
- Changing the scale
- Using a custom palette
- Adding titles and labels: Part 1
- Face Grids vs. Axes Subplots
- Adding a title to a face Grid object
- Adding title and labels: Part 2
- Adding a title and axis labels
- Rotating x-tics labels
- Putting it all together
- Box plot with subgroups
- Bar plot with subgroups and subplots
- Well done! What’s next
- Articial Intelligence
- Machine Learning
- Machine Learning Algorithms
- Algorithmic models of Learning
- Applications of Machine Learning
- Large Scale Machine Learning
- Computational Learning theory
- Reinforcement Learning
- Supervised Learning
- Unsupervised Learning
- Semi-supervised and Reinforcement Learning
- Bias and variance Trade-off
- Representation Learning
- Regression and its Types
- Logistic Regression
- Linear Regression
- Polynomial Regression
- Meaning and Types of Classication
- Nearest Neighbor Classiers
- K-nearest Neighbors
- Probability and Bayes Theorem
- Support Vector Machines
- Naive Bayes
- Decision Tree Classier
- Random Forest Classier
- About Clustering
- Clustering Algorithms
- K-means Clustering
- Hierarchical Clustering
- Distribution Clustering
- Ensemble approach
- K-fold cross validation
- Grid search cross validation
- Ada boost and XG Boost
+ More Lessons
Mock Interviews
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+919711526942SELF ASSESSMENT
Learn, Grow & Test your skill with Online Assessment Exam to
achieve your Certification Goals
FAQ's
Yes, you will be given a free demo live session by our trainer, and after feeling satisfied with the training only, you will get enrolled in the course.
Well, the cost is pretty much affordable. Somewhere it comes around 537.82 USD, but to know the exact price, you will have to reach our counselling team.
Yes, we will provide all the important study material on our LMS portal.
It's not mandatory though, but it will be preferably okay if you will come from a computer-science background.
- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
If yes, Register today and get impeccable Learning Solutions!
Training Features
Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Showcase your Course Completion Certificate to Recruiters
-
Training Certificate is Govern By 12 Global Associations.
-
Training Certificate is Powered by “Wipro DICE ID”
-
Training Certificate is Powered by "Verifiable Skill Credentials"
WHAT OUR ALUMNI SAYS ABOUT US
Dhruv
1. In recent times Python learning is hugely in demand. And I was looking for an institution to get myself enrolled in this course to become a Data Scientist. They have the best trainers and an affordable fee structure. It's been months now and I am fully satisfied with the trainers, live sessions, Read more...
Ananya
Data Science
Enrolling yourself in the Deep learning certification program of Croma Campus is the best way to master all the concepts of data science and deep learning. My experience with these people has been very amazing and positive. The support/guidance I got from the trainer is highly commendable Thanks, te Read more...
Aadarsh
Data Science
Hello, I have joined Croma Campus for a few months in the course helped in acquiring good knowledge. Also, there are many extra classes held by the trainer. There are many mock sessions given after the post completing the course. The salary offered in the industry is high to the candidates. Read more...
Pooja Yadav
Data Science
I am Pooja Yadav from Haryana. I have joined Croma Campus for learning this course. The trainer helped me to learn advanced practical knowledge and new innovative skills to enhance my ability. Also, the faculty is available in the odd hours for helping. There are many extra reference study materials Read more...
Sanjeev Kumar
Data Science
Hi, my name is Sanjeev Kumar. I have recently completed my Django Framework Certification Training from Croma Campus which is the brand name in the domain of technical education. It provides me with well-updated study material which is concerned with the latest industry trends. After the training co Read more...
Aadi
Data Science
Croma Campus has well-experienced faculties who are working as a top professional in the industry. I have recently completed my Artificial Intelligence Certification training from this institute and it gives me remarkable experience. With world-class infrastructural facilities, it has a student-frie Read more...
Vishal Jha
Data Science
Hi, my name is Vishal Jha currently I am associated with L&T. I got this amazing opportunity with the help of our specialized trainers. Due to the continuous practice through the mock interview, I get to clear out the Interview of this MNC. Apart from the training provided the behavior of trainers a Read more...
Ankit
Hi, my name is Ankit. I currently work as a Data Science at HCL. My interview in this company was scheduled by Croma Campus as I have done 2 months of Masters in Data Science course from it. I managed to crack this interview and the whole credit of my success goes to my Data Science trainer who dedi Read more...
Abhey
I have joined Croma Campus for taking the Masters in Data Science. It is a good place to learn. Helps in gaining the skills & knowledge. Read more...
Interested in Machine Learning with Python Training Course?
+1(639) 525-5419
+91-971 152 6942
Interested in Course?
Master in Cloud Computing Training