Python Zero to Hero Covering Web Development and Machine Learning + [Capstone Project From Scratch Included]

Teacher

Raunak Joshi

Categories

All-Courses, Courses, Mumbai University, Placement Preparation, python+aptitude, upgrade-placement

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₹5,000.00 ₹2,499.00

Python ~ Section 01 : Introduction And Getting The Right Tools! 1
- Lecture1.1
  
  1.1 Introduction And Installation 05 min
Python ~ Section 02 : Basic I/O, Operators & Using IDE 5
- Lecture2.1
  
  2.1 Numbers and Strings 07 min
- Lecture2.2
  
  2.2 Lists and Dictionaries 07 min
- Lecture2.3
  
  2.3 Assignment Operators 05 min
- Lecture2.4
  
  2.4 Development Environment 04 min
- Lecture2.5
  
  2.5 Visual Studio Code: [VS_Code] 07 min
Python ~ Section 03 : Conditional Statements & Looping ! 5
- Lecture3.1
  
  3.1 Conditional Statements 05 min
- Lecture3.2
  
  3.2 User Input 05 min
- Lecture3.3
  
  3.3 WHILE Loop 05 min
- Lecture3.4
  
  3.4 FOR Loop 03 min
- Lecture3.5
  
  3.5 FOR Loop: (Dictionary Enumeration) 05 min
Python ~ Section 04 : OOPS! Functions, Classes & Exception Handling 4
- Lecture4.1
  
  4.1 Functions 07 min
- Lecture4.2
  
  4.2 Class and Objects 04 min
- Lecture4.3
  
  4.3 Constructors 05 min
- Lecture4.4
  
  4.4 Exception handling 07 min
Python ~ Section 05 : Python Modules & Experiencing Jupyter ! 5
- Lecture5.1
  
  5.1 Modules 06 min
- Lecture5.2
  
  5.2 Statistics Module 04 min
- Lecture5.3
  
  5.3 CSV Module 08 min
- Lecture5.4
  
  5.4 PIP 04 min
- Lecture5.5
  
  5.5 Jupyter Note Book 07 min
Python ~ Section 06 : Tkinter, SQL in Python & File Management 3
- Lecture6.1
  
  6.1 SQLite Copy 10 min
- Lecture6.2
  
  6.2 Tkinter Copy 11 min
- Lecture6.3
  
  6.3 Making [.exe] in Python Copy 08 min
Web Development ~ Section 01 : Flask Introduction 2
- Lecture7.1
  
  1.1 Introduction And Installation 02 min
- Lecture7.2
  
  1.2 Boilerplate Code 05 min
Web Development ~ Section 02 : Routing & Redirecting 2
- Lecture8.1
  
  2.1 Routing 07 min
- Lecture8.2
  
  2.2 Redirecting 07 min
Web Development ~ Section 03 : Templating, Forms & Making API's With CRUD DB Operations 17
- Lecture9.1
  
  3.1 Template Prerequisites 12 min
- Lecture9.2
  
  3.2 Bootstrap 12 min
- Lecture9.3
  
  3.3 Flask File Hierarchy 06 min
- Lecture9.4
  
  3.4 Rendering Template 05 min
- Lecture9.5
  
  3.5 Jinja Templating 05 min
- Lecture9.6
  
  3.6 Conditions in Jinja 07 min
- Lecture9.7
  
  3.7 Enumeration In Jinja 04 min
- Lecture9.8
  
  3.8 Static Directory 06 min
- Lecture9.9
  
  3.9 Methods 05 min
- Lecture9.10
  
  3.10 Requests 06 min
- Lecture9.11
  
  3.11 Flash 10 min
- Lecture9.12
  
  3.12 Forms-Phase-1 09 min
- Lecture9.13
  
  3.13 Forms-Phase-2 07 min
- Lecture9.14
  
  3.14 Forms-Phase-3 10 min
- Lecture9.15
  
  3.15 Forms-Phase-4 11 min
- Lecture9.16
  
  3.16 Forms-Phase-5 06 min
- Lecture9.17
  
  3.17 Forms-Phase-6 12 min
Machine Learning ~ Section 01 : Introduction & Supervised / Unsupervised Learning 3
- Lecture10.1
  
  1.1 Introduction 07 min
- Lecture10.2
  
  1.2 Types of Machine Learning 05 min
- Lecture10.3
  
  1.3 Different Supervised Learning Algorithms 06 min
Machine Learning ~ Section 02 : Regression [Models, Implementation] 13
- Lecture11.1
  
  2.1 Linear Regression Introduction 10 min
- Lecture11.2
  
  2.2 Linear Regression Mathematics 13 min
- Lecture11.3
  
  2.3 Linear Regression Implementation 13 min
- Lecture11.4
  
  2.4 Regression Using Karl Pearson Coefficient 05 min
- Lecture11.5
  
  2.5 Linear Regression using Karl Pearson Coefficient Implementation 05 min
- Lecture11.6
  
  2.6 Linear Regression Library Implementation 05 min
- Lecture11.7
  
  2.7 Loss Analysis Using MSE 08 min
- Lecture11.8
  
  2.8 Mean Squared Error 04 min
- Lecture11.9
  
  2.9 Goodness Of Fit 10 min
- Lecture11.10
  
  2.10 R-Squared Implementation 03 min
- Lecture11.11
  
  2.11 R-Squared Using Karl Pearson Coefficient 05 min
- Lecture11.12
  
  2.12 R-Squared Using Karl Pearson 05 min
- Lecture11.13
  
  2.13 Library Implementation of Metrics 03 min
Machine Learning ~ Section 03 : Data Processing & Pandas 4
- Lecture12.1
  
  3.1 Loss Optimizer 09 min
- Lecture12.2
  
  3.2 Gradient Descent Implementation 09 min
- Lecture12.3
  
  3.3 Data Processing Using Pandas 11 min
- Lecture12.4
  
  3.4 Train Test Split 06 min
Machine Learning ~ Section 04 : Classification, Score Analysis & [Bonus] Google Colabration 9
- Lecture13.1
  
  4.1 Classification Models 08 min
- Lecture13.2
  
  4.2 Logistic Regression 05 min
- Lecture13.3
  
  4.3 Loss For Classification Models 03 min
- Lecture13.4
  
  4.4 Log Loss Implementation 07 min
- Lecture13.5
  
  4.5 Score Analysis Basics 05 min
- Lecture13.6
  
  4.6 Confusion Matrix Implementation 08 min
- Lecture13.7
  
  4.7 Precision & Recall 07 min
- Lecture13.8
  
  4.8 F1 Score 05 min
- Lecture13.9
  
  [Bonus] Google Colabration 09 min
Machine Learning ~ Section 05 : K-Means Clustering, Decision Tree Classifier, Support Vector Information 6
- Lecture14.1
  
  5.1 K-Nearest neighbors 08 min
- Lecture14.2
  
  5.2 Iris 10 min
- Lecture14.3
  
  5.3 Support Vector Machine 10 min
- Lecture14.4
  
  5.4 Decision Tree Classifier 06 min
- Lecture14.5
  
  5.5 Digit Classification 08 min
- Lecture14.6
  
  5.6 K-Means Clustering 13 min
Hands-On : Capstone Project + Source Code 3
- Lecture15.1
  
  Phase1 Model-1 26 min
- Lecture15.2
  
  Phase2 Front-End 15 min
- Lecture15.3
  
  Phase3 Back-End 18 min
[Bonus] Python Hands-On Projects + Source Code 4
- Lecture16.1
  
  Rock Paper Scissor Python Game 13 min
- Lecture16.2
  
  Message Encode Decode in Python Project 15 min
- Lecture16.3
  
  Calculator in Python 25 min
- Lecture16.4
  
  Source Code of all 3 Projects

Python Zero to Hero Covering Web Development and Machine Learning + [Capstone Project From Scratch Included]

One of the most exclusive courses available at last moment tuitions

Features of this program:
1. You will be given access to pre-recorded videos.
2. You will be developing 3 mini-projects using python and 1 industrial level project using python + machine learning + flask throughout the whole program.
3. You will get a certificate on completion of this program.

The price for this Course is Rs. 5000

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Course Features

Lectures 86
Quizzes 0
Students 17
Certificate Yes
Assessments Yes

Raunak Joshi

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Python Zero to Hero Covering Web Development and Machine Learning + [Capstone Project From Scratch Included]

Python ~ Section 01 : Introduction And Getting The Right Tools! 1

Python ~ Section 02 : Basic I/O, Operators & Using IDE 5

Python ~ Section 03 : Conditional Statements & Looping ! 5

Python ~ Section 04 : OOPS! Functions, Classes & Exception Handling 4

Python ~ Section 05 : Python Modules & Experiencing Jupyter ! 5

Python ~ Section 06 : Tkinter, SQL in Python & File Management 3

Web Development ~ Section 01 : Flask Introduction 2

Web Development ~ Section 02 : Routing & Redirecting 2

Web Development ~ Section 03 : Templating, Forms & Making API's With CRUD DB Operations 17

Machine Learning ~ Section 01 : Introduction & Supervised / Unsupervised Learning 3

Machine Learning ~ Section 02 : Regression [Models, Implementation] 13

Machine Learning ~ Section 03 : Data Processing & Pandas 4

Machine Learning ~ Section 04 : Classification, Score Analysis & [Bonus] Google Colabration 9

Machine Learning ~ Section 05 : K-Means Clustering, Decision Tree Classifier, Support Vector Information 6

Hands-On : Capstone Project + Source Code 3

[Bonus] Python Hands-On Projects + Source Code 4

Python Zero to Hero Covering Web Development and Machine Learning + [Capstone Project From Scratch Included]

One of the most exclusive courses available at last moment tuitions

Features of this program: 1. You will be given access to pre-recorded videos. 2. You will be developing 3 mini-projects using python and 1 industrial level project using python + machine learning + flask throughout the whole program. 3. You will get a certificate on completion of this program.

Course Features

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Features of this program:
1. You will be given access to pre-recorded videos.
2. You will be developing 3 mini-projects using python and 1 industrial level project using python + machine learning + flask throughout the whole program.
3. You will get a certificate on completion of this program.