Corporate Machine Learning With Python Training Course

Edstellar's instructor-led Machine Learning with Python Training Program equips your organizations with practical skills and techniques to leverage data-driven insights. Enhance your team's proficiency in Python programming, unleash machine learning algorithms' capabilities, and gain a competitive edge in today's data-centric world.

Duration

40 - 48 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Machine Learning With Python Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Machine Learning With Python Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Machine Learning with Python refers to using Python to apply machine learning techniques for analyzing data, making predictions, and automating decision-making processes. Machine Learning with Python is immensely beneficial for organizations, offering a pathway to transform vast amounts of data into actionable insights, thereby enhancing decision-making processes. This training explores the concept of machine learning through Python by showcasing how its rich ecosystem of libraries and tools can be utilized to develop sophisticated models that predict, classify, and analyze data in ways that can significantly enhance decision-making and operational efficiency within organizations.

Edstellar instructor-led Machine Learning with Python course distinguishes itself with its flexibility in offering virtual/onsite training options, catering to organizations' varied logistical needs and preferences. This adaptability ensures that teams have access to high-quality learning resources and expert instruction regardless of geographical location. Moreover, the Edstellar training program stands out for its emphasis on customization, allowing the course content to be tailored to meet each organization's specific challenges and goals. Professionals will benefit from practical, hands-on experience, working on real-life projects and scenarios that reinforce learning outcomes and equip them with actionable skills.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Key Skills Employees Gain from instructor-led Machine Learning With Python Training

Machine Learning With Python skills corporate training will enable teams to effectively apply their learnings at work.

Predictive Modeling
Predictive Modeling is the process of using statistical techniques to forecast future outcomes based on historical data. This skill is important for data analysts, marketers, and financial analysts, as it enables informed decision-making and strategic planning.
Data Analysis
Data Analysis is the process of inspecting, cleansing, and modeling data to discover useful information. This skill is important for roles like data scientist and business analyst, as it drives informed decision-making and strategy development.
Data Visualization
Data Visualization is the ability to represent data graphically, making complex information accessible and understandable. this skill is important for analysts and decision-makers to identify trends, insights, and patterns effectively.
Data Processing Automation
Data Processing Automation involves using technology to streamline and automate data handling tasks. This skill is important for roles in data analysis, IT, and operations, enhancing efficiency and accuracy.
Custom Algorithm Development
Custom Algorithm Development involves creating tailored algorithms to solve specific problems. this skill is important for data scientists and software engineers to optimize solutions and enhance performance.
Model Optimization
Model Optimization is the process of refining machine learning models to enhance performance and efficiency. This skill is important for data scientists and AI engineers, as it ensures accurate predictions and resource-efficient solutions.

Key Learning Outcomes of Machine Learning With Python Training Workshop for Employees

Upon completing Edstellar’s Machine Learning With Python workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

Design and implement predictive models to forecast market trends, customer behavior, and operational efficiencies, leveraging Python's powerful libraries like Scikit-learn, Pandas, and NumPy
Apply statistical analysis and data visualization techniques to make informed decisions based on data, using Python tools such as Matplotlib and Seaborn for insightful visual representations
Automate data processing tasks, including cleaning, normalization, and feature engineering to prepare datasets for analysis, enhancing the accuracy and effectiveness of machine learning models
Develop custom machine learning algorithms for classification, regression, clustering, and recommendation systems tailored to specific business needs and objectives
Optimize machine learning models with hyperparameter tuning and cross-validation techniques to achieve the best possible performance, ensuring reliable predictions and outcomes
Deploy machine learning models into production environments, integrating them with existing systems to improve decision-making processes and operational workflows

Key Benefits of the Machine Learning With Python Group Training

Attending our Machine Learning With Python group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

Learn cutting-edge machine learning techniques and Python programming skills to tackle real-world data analysis challenges
Equip your team with the ability to preprocess, visualize, and interpret large datasets, enhancing data-driven decision-making capabilities
Gain knowledge of the latest machine learning algorithms and their applications across various industries, fostering innovation and competitive edge
Develop expertise in deploying machine learning models into production, enabling your organization to leverage predictive analytics for strategic advantages
Upskill in advanced data manipulation and analysis techniques using Python libraries such as Pandas, NumPy, and Scikit-learn, improving operational efficiencies

Topics and Outline of Machine Learning With Python Training

Our virtual and on-premise Machine Learning With Python training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

Python for Machine Learning

Getting started with Python
- Installing Python and setting up the environment
- Understanding Python syntax and basic commands
Libraries for machine learning
- Introduction to NumPy and pandas
- Exploring Matplotlib and Seaborn for data visualization
- Utilizing Scikit-learn for machine learning
Writing your first Python program
- Basic programming concepts
- Working with data structures
Best practices in Python programming
- Code organization and readability
- Debugging and error handling

Basic Statistics for Machine Learning

Understanding data types and measures
- Numerical vs categorical data
- Central tendency and variability
Probability basics
- Probability theory and rules
- Distributions and their significance
Hypothesis testing and confidence intervals
- Conducting hypothesis tests
- Interpreting confidence intervals
Correlation and regression analysis
- Exploring relationships between variables
- Fitting a linear regression model

Introduction to Machine Learning

Machine learning fundamentals
- Definition and types of machine learning
- Applications of machine learning
The machine learning workflow
- Data collection to model deployment
- Evaluating model performance
Overfitting and underfitting
- Diagnosing model performance issues
- Strategies for model improvement
Choosing the right algorithm
- Algorithm selection criteria
- Overview of common machine learning algorithms

Data Processing for Machine Learning

Data cleaning and preparation
- Handling missing values
- Dealing with outliers
Feature engineering
- Creating new features
- Feature scaling and normalization
Data splitting
- Training and test set creation
- Cross-validation techniques
Dimensionality reduction
- Principal component analysis (PCA)
- Feature selection methods

Machine Learning Algorithms

Supervised learning algorithms
- Linear and logistic regression
- Decision trees and random forests
Unsupervised learning algorithms
- K-means clustering
- Hierarchical clustering
Neural networks and deep learning
- Basics of neural networks
- Introduction to deep learning frameworks
Ensemble methods and model evaluation
- Boosting and bagging techniques
- Metrics for model evaluation

Building and Training Machine Learning Models

Data preprocessing for model building
- Feature extraction and selection
- Preparing data for training
Model training and validation
- Training models with Scikit-learn
- Validating model accuracy
Hyperparameter tuning
- Grid search and random search
- Using cross-validation for tuning
Model deployment and monitoring
- Deploying models to production
- Monitoring and updating models

Property Estimation with ML

Introduction to property estimation
- Significance in various fields
- Overview of ML applications
Data sources and feature selection
- Identifying relevant data
- Selecting features for property estimation
Building models for property estimation
- Choosing the right algorithm
- Training and testing models
Case studies and applications
- Real-world examples of property estimation
- Lessons learned from case studies

Who Can Take the Machine Learning With Python Training Course

The Machine Learning With Python training program can also be taken by professionals at various levels in the organization.

Data Scientists
Machine Learning Engineers
Data Analysts
Python Developers
Research Scientists
AI Engineers
Software Developers
Data Engineers
Product Managers
BI Analysts
Quantitative Analysts
Research Analysts

Prerequisites for Machine Learning With Python Training

Professionals should have a basic understanding of Python programming, algebra, calculus, statistics, probability, and introductory data analysis techniques using Python libraries like Pandas and NumPy to take the Machine Learning with Python training course.

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Machine Learning With Python Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Machine Learning With Python training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Edstellar's Machine Learning With Python virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations

The consistent training quality ensures uniform learning outcomes

Participants can attend training in their own space without the need for traveling

Organizations can scale learning by accommodating large groups of participants

Interactive tools can be used to enhance learning engagement

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Edstellar's Machine Learning With Python inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction

Workplace environment can be tailored to learning requirements

Team collaboration and knowledge sharing improves training effectiveness

Demonstration of processes for hands-on learning and better understanding

Participants can get their doubts clarified and gain valuable insights through direct interaction

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Edstellar's Machine Learning With Python offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement

Team bonding can be improved through activities

Dedicated schedule for training away from office set up can improve learning effectiveness

Boosts employee morale and reflects organization's commitment to employee development

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Edstellar: Your Go-to Machine Learning With Python Training Company

Experienced Trainers

Our trainers bring years of industry expertise to ensure the training is practical and impactful.

Quality Training

With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

Industry-Relevant Curriculum

Our course is designed by experts and is tailored to meet the demands of the current industry.

Customizable Training

Our course can be customized to meet the unique needs and goals of your organization.

Comprehensive Support

We provide pre and post training support to your organization to ensure a complete learning experience.

Multilingual Training Capabilities

We offer training in multiple languages to cater to diverse and global teams.

Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

Get Your Team Members Recognized with Edstellar’s Course Certificate

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Machine Learning With Python Training Needs

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

Machine Learning with Python Trainer in Chennai

Priyadharshini

Chennai, India

Trainer since

August 1, 2022

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Edstellar is a one-stop instructor-led corporate training and coaching solution that addresses organizational upskilling and talent transformation needs globally. Edstellar offers 2000+ tailored programs across disciplines that include Technical, Behavioral, Management, Compliance, Leadership and Social Impact.

Corporate Machine Learning With Python Training Course

Drive Team Excellence with Machine Learning With Python Corporate Training

Key Skills Employees Gain from instructor-led Machine Learning With Python Training

Key Learning Outcomes of Machine Learning With Python Training Workshop for Employees

Key Benefits of the Machine Learning With Python Group Training

Topics and Outline of Machine Learning With Python Training

Python for Machine Learning

Basic Statistics for Machine Learning

Introduction to Machine Learning

Data Processing for Machine Learning

Machine Learning Algorithms

Building and Training Machine Learning Models

Property Estimation with ML

Who Can Take the Machine Learning With Python Training Course

Prerequisites for Machine Learning With Python Training

Corporate Group Training Delivery Modes for Machine Learning With Python Training

Explore Our Customized Pricing Package forMachine Learning With Python Corporate Training

Edstellar: Your Go-to Machine Learning With Python Training Company

Experienced Trainers

Quality Training

Industry-Relevant Curriculum

Customizable Training

Comprehensive Support

Multilingual Training Capabilities

What Our Clients Say

Get Your Team Members Recognized with Edstellar’s Course Certificate

We have Expert Trainers to Meet Your Machine Learning With Python Training Needs

Other Related Corporate Training Courses

Explore More Courses

Corporate Group Training Delivery Modes
for Machine Learning With Python Training

Explore Our Customized Pricing Package for
Machine Learning With Python Corporate Training