Course Content
Day-2: How to use VScode (an IDE) for Python?
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Day-3: Basics of Python Programming
This section will train you for Python programming language
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Day-4: Data Visualization and Jupyter Notebooks
You will learn basics of Data Visualization and jupyter notebooks in this section.
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Day-5: MarkDown language
You will learn whole MarkDown Language in this section.
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Day-10: Data Wrangling and Data Visualization
Data Wrangling and Visualization is an important part of Exploratory Data Analysis, and we are going to learn this.
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Day-11: Data Visualization in Python
We will learn about Data Visualization in Python in details.
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Day-12,13: Exploratory Data Analysis (EDA)
EDA stands for Exploratory Data Analysis. It refers to the initial investigation and analysis of data to understand the key properties and patterns within the dataset.
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Day-15: Data Wrangling Techniques (Beginner to Pro)
Data Wrangling in python
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Day-26: How to use Conda Environments?
We are going to learn conda environments and their use in this section
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Day-37: Time Series Analysis
In this Section we will learn doing Time Series Analysis in Python.
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Day-38: NLP (Natural Language Processing)
In this section we learn basics of NLP
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Day-39: git and github
We will learn about git and github
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Day-40: Prompt Engineering (ChatGPT for Social Media Handling)
Social media per activae rehna hi sab kuch hy, is main ap ko wohi training milay ge.
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Python ka Chilla for Data Science (40 Days of Python for Data Science)
    Join the conversation
    Faizan Ahmad 3 weeks ago
    RNN is the best neural network to be used for sequential data.Structured Data Examples: 1) Banks Transaction Information 2) Phone Book Contacts 3) SQL Databases 4) Web Form Results 5) Student's Data Un-structured Data: 1) Social Media Feeds 2) Open Ended Surveys 3) Movie / Hotel Reviews 4) Multi-media content 5) EmailsCNNs are primarily used in image processing tasks due to their ability to analyze visual data. RNNs are used in sequential data analysis like time series analysis, natural language processing, and speech recognition etc. Standard NNs are used in situations where the relationship between input and output data is not complex.An Artificial Neural Network (ANN) is a computing system inspired by the human brain's interconnected web of neurons. It's a software system that "learns" from data, much like how we learn from experience.
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    saima Shahzadi 4 months ago
    An artificial neural network (ANN) is a computational model inspired by the structure and function of biological neural networks in the human brain. It is a type of machine learning algorithm designed to recognize patterns and relationships in data.
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    saima Shahzadi 4 months ago
    RNN in sequential data
    Reply
    Syed Abdul Qadir Gilani 9 months ago
    MA SHA ALLAH
    Reply