Data Science & Machine Learning Foundation Training in Bangalore - ZekeLabs Best Data Science & Machine Learning Foundation Training Institute in Bangalore India
Data Science & Machine Learning Foundation-training-in-bangalore-by-zekelabs

Data Science & Machine Learning Foundation Training

Data Science & Machine Learning Foundation Course: This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material. Fundamentals of machine learning will be taught here & projects will be done using it
Data Science & Machine Learning Foundation-training-in-bangalore-by-zekelabs
Assignments
Data Science & Machine Learning Foundation-training-in-bangalore-by-zekelabs
Industry Level Projects
Data Science & Machine Learning Foundation-training-in-bangalore-by-zekelabs
Certification

Data Science & Machine Learning Foundation Course Curriculum



What Is Data Science?
Understanding concept of Jupyter Notebook
NumPy Standard Data Types
NumPy Array Attributes
Array Slicing: Accessing Subarrays
Array Concatenation and Splitting
The Slowness of Loops
Exploring NumPy’s UFuncs
Ufuncs: Learning More
Summing the Values in an Array
Example: What Is the Average Height of US Presidents?
Introducing Broadcasting
Broadcasting in Practice
Example: Counting Rainy Days
Working with Boolean Arrays
Fancy Indexing
Combined Indexing
Modifying Values with Fancy Indexing
Installing and Using Pandas
The Pandas Series Object
The Pandas Index Object
Data Selection in Series
Operating on Data in Pandas
UFuncs: Index Alignment
Handling Missing Data
Missing Data in Pandas
Hierarchical Indexing
Methods of MultiIndex Creation
Rearranging Multi-Indices
Combining Datasets: Concat and Append
Simple Concatenation with pd.concat
Relational Algebra
Specification of the Merge Key
Overlapping Column Names: The suffixes Keyword
Aggregation and Grouping
Simple Aggregation in Pandas
Pivot Tables
Pivot Tables by Hand
Example: Birthrate Data
Introducing Pandas String Operations
Example: Recipe Database
Dates and Times in Python
Pandas Time Series Data Structures
Resampling, Shifting, and Windowing
Example: Visualizing Seattle Bicycle Counts
Motivating query() and eval(): Compound Expressions
DataFrame.eval() for Column-Wise Operations
Performance: When to Use These Functions
General Matplotlib Tips
Setting Styles
Saving Figures to File
Simple Line Plots
Adjusting the Plot: Axes Limits
Simple Scatter Plots
Scatter Plots with plt.scatter
Visualizing Errors
Continuous Errors
Visualizing a Three-Dimensional Function
Two-Dimensional Histograms and Binnings
Choosing Elements for the Legend
Multiple Legends
Customizing Colorbars
Multiple Subplots
plt.subplot: Simple Grids of Subplots
plt.GridSpec: More Complicated Arrangements
Example: Effect of Holidays on US Births
Arrows and Annotation
Major and Minor Ticks
Reducing or Increasing the Number of Ticks
What Is Machine Learning?
Qualitative Examples of Machine Learning Applications
Data Representation in Scikit-Learn
Application: Exploring Handwritten Digits
Thinking About Model Validation
Learning Curves
Categorical Features
Image Features
Imputation of Missing Data
Bayesian Classification
Multinomial Naive Bayes
Simple Linear Regression
Regularization
Motivating Random Forests: Decision Trees
Random Forest Regression
Summary of Random Forests
Introducing k-Means
Examples
Understanding BeautifulSoup
Handwriting Detection
IPL Analysis


Frequently Asked Questions


We provide classroom-based as well as online training. Since this is a hand-on training so batches generally does not contain more than 4 people.

We will provide web services specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for these Data Science and Machine Learning through our github account and the study material that we share with you. You can use that for quick reference.

Feel free to drop a mail to us at support@zekelabs.com and we will get back to you at the earliest for your queries on Data Science and Machine Learning course

We have tie ups with various companies and placement organizations to whom we connect our learners. Each Data Science and Machine Learning training ends with career consulting

Minimum 2-3 projects of industry standards on Data Science and Machine Learning will be provided

Yes, we provide our own course completion certificate to all students. Each Data Science and Machine Learning training in bangalore ends with training and project completion certificate

You can pay by card (debit/credit), cash, cheque and net-banking. You can pay in two installments

We take immense pride to provide post training career consulting for Data Science and Machine Learning training



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