Data Science & AI Training Institute in Adoni

Data Science & AI

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Unlock the power of data with Radix Tech Solutions’ Data Science & AI course. This program is designed to equip you with practical knowledge in data analysis, machine learning, and artificial intelligence. Learn how to work with real-time data, build intelligent systems, and make data-driven decisions that businesses rely on today. Our expert-led training will help you master tools like Python, TensorFlow, and advanced algorithms. Whether you’re a beginner or looking to upskill, this course opens doors to high-demand careers in analytics and AI development. Get industry-ready with hands-on projects and personalized mentoring!

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Course Curriculum

Python

Python Installation
Jupyter Notebook Tutorial
Variable
Function
Lambda Expression
Loops
List
Tuple
Set
Dictionary

Advance Python

Introduction to Numpy
Creating Arrays
Selection and Indexing
Basic Operations on Arrays
Mathematical Operation on Arrays
Linear Algebra Operation on Arrays
Stacking Arrays
Data Types and Type Conversion
Assignment-4
Introduction to Pandas
Creating Data Frames
Reading and Writing Operation
Selection and Indexing
Conditional Selection
Assignmet-5
Groupby
Pivot Table
Merge
Join
Concat
Missing Value Treatment
Drop Duplicates
Dealing with Date Time Data
Apply()
Introduction to Series
Series Operation
Pandas Builtin Functions for Data Visualisation

Visualisation

Introduction To Plotly
Scatter Plot
Line Plot
Scatter Matrix
Box Plot
Bar Chart
Histogram
Sun Burst Chart
Create DashBoard

Statistics

Central Limit Theorem
Measure of Dispersion
Quartiles
Inter Quartile Ranges
Variance
Standard Deviation
Z Score
Normal Distribution
Pearson Correlation Coefficient- R
R Square
Adjust R2
Multi Colinearity Detection Techniques
Multi Colinearity Removal Techniques
Outliers Detection and Removal

Machine Learning

Introduction to Machine Learning
Difference Between Supervised & Unsupervised Learning
Difference Between Classification and Regression
Machine Learning Application
Data Science Project Life Cycle
Linear Regression
- Theory of Linear Regression
- Cost Function
- Optimization Using Gradient Descent
- Mathematical Interpretation of Gradient Descent
- Project-1 – Sales Prediction Project
- Understanding Why Linear Regression may fail?
- Model Validation Techniques
  - Mean Squared Error
  - Root Mean Squared Error
  - Mean Absolute Error
Polynomial Regression
- Understanding Polynomial Regression
- Implementing Polynomial Regression Using Python
- Overfitting, Underfitting, Right Fit
Logistic Regression
- Understanding Logistic Regression Step by Step
Decision Tree and Random Forest
- ID3 Algorithm vs CART
- Entropy
- Information Gain
- Step by Step Understanding of How Decision Tree Work
- How to overcome overfitting in DT
- Cross Validation
- Bootstrap Aggregation/Bagging
- Introduction to Random Forest
- How Random Forest Works
- Feature Selection
- Model Validation Techniques
  - Accuracy
  - Confusion Matrix
  - Classification Report
  - Recall
  - Precision
- Hyper parameter Tuning
KMeans Clustering
- What is Euclidian Distance
- Introduction to Unsupervised Learning
- Step By Step Mathematical Derivation
- Pros and Cons Of K Means
- Elbow Method to Find K

Deep Learning

What is Deep Learning
Deep Learning VS Machine Learning
What is a Perceptron
How Neural Network Learns
Multi Layer Perceptron
Activation Function
Introduction to Keras
What is Feed Forward Network
Detail Explanation of ANN
What is Cost Function
Optimization Technique
Vanilla Gradient Descent
Mini Batch Gradient Descent
Stochastic Gradient Descent
Softmax
Cross Entropy Loss
MSE vs Cross Entropy

Image Processing , CNN & Computer Vision

Introduction to Computer Vision
Challenges in Computer Vision
Introduction to Open CV
Image Basics
Reading and Writing Images/Videos
Rescaling / Normalisation
Color Mapping
Thresholding of an Image
Morphological Transformation
Image Augmentation Using Keras
What is Image Filters
Different Kind of Filters
Convolution
What is Convolutional Neural network
Pooling
Overfitting In Deep Learning
Drop Outs

Time Series Analysis

Introduction to Apache Spark
Parallel vs Distributed Computing
Introduction to Big Data
Spark Installation
Spark Vs Hadoop
Spark Architecture
Lazy Evaluation
RDD
Spark SQL & DataFrame
Spark ML Lib
Project-13- Retail Domain Project using Spark MLLib

Natural Language Processing-Text Mining

What is Unstructured Data
Introduction to NLTK and Spacy
Tokenization
Stop Word Removal
Stemming
Lemmatization
N-Grams
What is Word Embedding
Count Vectorizer
Tf-Idf Vectorizer
Pattern Matching
Regular Expression

Big Data Analytics - Apache Spark

Introduction to Apache Spark
Parallel vs Distributed Computing
Introduction to Big Data
Spark Installation
Spark Vs Hadoop
Spark Architecture
Lazy Evaluation
RDD
Spark SQL & DataFrame
Spark ML Lib
Project-13- Retail Domain Project using Spark MLLib

Data Science & AI Training Institute in Adoni

Data Science & AI

Course Curriculum

Python

Advance Python

Visualisation

Statistics

Machine Learning

Deep Learning

Image Processing , CNN & Computer Vision

Time Series Analysis

Natural Language Processing-Text Mining

Big Data Analytics - Apache Spark

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Data Science & AI Training Institute in Adoni