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Skills Covered in this Path
- NumPy Arrays
 - NumPy Operations
 - NumPy Math
 - Saving & Loading NumPy
 - Pandas Series
 - Pandas DataFrame
 - Pandas Functions (Mean
 - Median
 - Max
 - Min)
 - Data Manipulation
 - Supervised Learning
 - Unsupervised Learning
 - Machine Learning with Python
 - AI Fundamentals
 - Python for AI
 - Neural Networks Basics
 - Biological vs. Artificial Neurons
 - Perceptron Mechanism
 - ANN Architecture
 - Activation Functions
 - Forward Propagation
 - Loss Functions
 - Keras Framework
 - Gradient Descent
 - MNIST Application
 - TensorFlow
 - Python
 - Statistics
 - Reinforcement learning
 - Machine learning
 - TensorFlow library
 - Deep Learning
 - Neural Networks
 - Artificial Intelligence
 - Image Classification
 - Tensors
 - Python
 - ANN
 - Tensorflow
 - Keras
 - Gradient
 - Backpropagation
 - Reinforcement Learning
 - States
 - Actions
 - State based mechanism in Reinforcement Learning
 - Tokenization
 - stemming
 - lemmatization
 - removing stopwords
 - NLP modeling techniques
 - machine learning
 - logistic regression
 - sentiment analysis
 - TextBlob
 - TextBlob sentiment analysis
 - U-Net
 - semantic segmentation
 - Data Analysis
 - SQL
 - SQL With Python
 - SQL Clauses
 - GROUP BY Statement
 - HAVING Clause
 - Aliases In SQL
 - Inner Join
 - Left Join
 - Right Join
 - Full Join
 - Self Join
 - Subqueries
 - Python Concepts With SQL
 - Triggers
 - Big Data basics
 - Hadoop
 - HDFS
 - Hive basics
 - Hive querying
 - Hive data upload
 - Hive simple operations
 - Spark
 - RDDs
 - Hadoop
 - Hadoop
 - Spark
 - Real-time Data Analytics
 - Spark streaming
 - NoSQL
 - Databases
 - MongoDB
 - Aggregation
 - Joins
 - Installing MongoDB
 - Connecting To Local Server
 - Data Understanding And Walkthrough
 - Collections And Documents
 - Data Preparation
 - Importing Data
 - Exploration Of Data
 - Basic of MongoDB
 - NoSQL
 - SQL Vs NoSQL
 - Installation of MongoDB
 - Create Database
 - Create Collection
 - Create Documents
 - CRUD Operations
 - Query Execution
 - R programming fundamentals
 - variables
 - data types
 - data structures
 - control structures
 - functions
 - packages
 - importing data into R
 - manipulating data in R
 - performing statistical analysis in R
 - data cleaning and wrangling
 - statistical modeling
 - HR Database Project
 - SQL Queries
 - Real-World SQL Usage
 - HR Database System
 - Data Storage
 - Data Retrieval
 - Data Manipulation
 - HR Processes Representation
 - Introduction To Database Management System
 - Introduction To RDBMS
 - Keys In RDBMS
 - SQL Commands
 - Bank Database Project
 - Introduction to MySQL
 - OpenCV
 - Face Detection
 - Face Recognition
 - Deep Learning
 - OpenCV Operations
 - Face Detection demo
 - Face Detection
 - Face Recognition
 - Applications of Face Recognition
 - Face Detection using OpenCV using Python