Software Trainings

• What is Algorithm?
• Flow Diagrams Development
• Environment Setup

• Integer
• Decimal Numbers
• Character Builds
• Logical Structures Lists
• One-Dimensional Arrays
• Multidimensional Arrays bundles clusters
• Dictionaries Data Type
• Conversions Variable Definition
• Methods I/O Operations
• Input Function

• Decision Structures
• If Else Else If Loop
• For Loop
• While Loop
• Concept of When
• Infinite Loops
• Break, Continue Statements

• Parameterized Functions
• Parameterless Functions
• Functions that Return Values
• Functions That Do Not Return
• Values Function Usage Module
• Concept Standard Modules and Ready Functions
• Time and Date Operations
• Random Module and Its Usage

• Concept of Class OOP
• Fundamentals Constructor
• MethodsClass methodsStatic
• Methods Concept of
• Encapsulation and Inheritance
• Polymorphism OOP Examples in Real Life

• OS Module
• Create and Delete Folders
• File Creation and Deletion
• File Content Reading and
• Modification
• File Modes

• Try, Except ve Rais
• Catch All

• What is SQL?
  SQL Data Types
  SQL Development Environment Setups
  What are DDL and DML?
  Creating a Database, Creating a Table
  Adding and Saving Data
  Database Operations, Update, Delete
  Primary Key Concept
  Table CRUD Operations
  Queries with SQL
  Arithmetic Queries
  Logical Interrogations
  In Inquiry
  Like Inquiry
  Relationships
  Join
  Reinforcement with Application Examples

• Place
• Pack
• Grid
• Reinforcement with Application Examples
• Trade Automation Project

• Data Analytics: What is Numpy?
  Creating an Array
  Series Manipulation
  Indexing Numpy Arrays
  Statistical Operations
  Reinforcement with Application Examples

• Serialize from Lists and Dictionaries
  Methods, Parameters and Arguments
  Operations on the .csv file
  Embedded functions
  Indexing and Mathematical Operations
  Dataframe Introduction
  Dataframe manipulation
  Dataframe functions
  Dataframe multiple index operations
  Dataframe text data
  Dataframe csv, excel and html file operations
  Time Series Analysis
  Reinforcement with Application Examples

Plot and Subplot

Colors and Lines
Chart Size Scaling
Scatter, Histogram, Step and Piechart
Reinforcement with Application Examples

• Functions, Parameters and Arguments
  Distplot
  Jointplot
  Kdeplot
  Pairplot and Rugplot
  BoxplotViolinplot
  Barplot and Countplot.
  Stripplot and Swarmplot
  Factorplot
  Heatmap
  Lmplot
  PairGrid and FacetGrid
  Reinforcement with Application Examples

History of artificial intelligence
Artificial intelligence use cases and real life examples
Artificial intelligence sub-branches and algorithms
What are the differences between artificial intelligence, machine learning and deep learning?
Machine learning with CRISP-DM project management methodology
Data Preprocessing – Earthquake Prediction in Turkey

Analysis and Cleaning of Repeated Data
Correction and Cleaning of Outlier Data
Analyzing and cleaning missing data (Missing Values)
Estimation with K-Nearest Neighbor Model
Forecasting with Decision Tree Algorithm
Forecasting with Random Forest Algorithm
Comparison of Algorithms Based on Model Errors and Single Instance
PCA – Principal Component Analysis
Polynomial Features
Feature Selection
Encoder – Encoder
Scaling and Normalization (Scaler-Normalization, One Hot Encoder, Z-Score Method)
Simple Linear Regression
Multiple Linear Regression
House Price Prediction with Multiple Linear Regression
What is Classification? Benign or Malignant Breast Cancer Classification Project
Chess Result Prediction with Decision Trees Model
Recognition of Handwritten Digits with Convolutional Neural Networks
Visual Object Recognition with ImageNet Project
What are Long Short Term Memory (LSTM) Recurrent Neural Networks (RNN)?
Machine Learning Project Generating Lyrics with LSTM
What is Natural Language Processing?

Tokenization (Tokenization Process)
Remove StopWords (Remove Ineffective Words)
Ste