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Cohort 134 - Da/Ds/GenAi/Ai - DK
Course content
48 sections | 87 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
28th September
2 Lessons
4th October
2 Lessons
5th October
2 Lessons
11th October
2 Lessons
12th October
2 Lessons
25th October
2 Lessons
26th October
2 Lessons
Roadmap, Facts About Python, Set Methods, Class & Objects, Lambda
2 Lessons
2nd November
1 Lessons
8th November
1 Lessons
9th November
1 Lessons
15th November
1 Lessons
Binary Number, CSV, File Handling - CSV, File Handling - MP3, File handling - Text, Probability basics, SDLC, Truth_Table_Python
3 Lessons
SQL Software, Creating a Table, Inseting the Data, SELECT in SQL, Where in SQL, ORDER BY, SDLC
2 Lessons
Distinct, Asterisk (*), Update, Primary Key, Delete, MIN & MAX, ALTER, In
2 Lessons
Between, And & OR, Like in SQL, NOT, Limit/Top, Group By
2 Lessons
Count, Sum, Join, Inner Join, Left Join, Right Join, Self Join, Alias, Default, Check
3 Lessons
NOT Null, SQL Data Type, Functions in SQL, Subquery, Normalization, Practice Set Question, XAMPP process
3 Lessons
Views, Sorting, Filtering, Heading & Title, Installation, Introdution, Buttons
2 Lessons
Sidebar, Reading CSV
1 Lessons
Virtual Environment, Streamlit Widgets, Formatted String, Uploading the multiple files, Displaying Charts, Simple Dashabord, Github Account
2 Lessons
Introdution to Github, Signup, Terms used in Github, Demo of profile, Project Discussion
3 Lessons
Introduction to Data Science, Introduction to Machine Learning, Linear Regression, Salary Prediction
2 Lessons
Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Linear Regression, pred[0], Gold Price Prediction
2 Lessons
Decision Tree, Logistic Regression, Program Practice
4 Lessons
Random Forest Algorithm, KNN, Dependent Variable, Independent Variable, Train–Test Split
2 Lessons
Resume Discussion, Project Discussion, Data Collection (Compaines), Label Encoding
2 Lessons
17th January
1 Lessons
18th January
1 Lessons
24th January
1 Lessons
25th January
1 Lessons
Introduction to OpenCV, Image color, Reading the images, Cropping the images, Image flipping
2 Lessons
Drawing Shapes on Image, Eye Detection, Face Detection Using Haar Cascade, Image Resizing, Image Rotation, Putting Text on Image
2 Lessons
7th February
1 Lessons
8th February
2 Lessons
Plotly Charts in Streamlit, Multi-Page Apps using pages folder, Session State using st.session_state, Caching using st.cache_data and st.cache_resource, ML Model Loading using pickle or joblib
2 Lessons
ML Prediction UI – inputs to predict, Model Evaluation Display – accuracy, confusion matrix, ML Pipeline Demo – preprocess and predict, Deploying Streamlit App – Streamlit Cloud or server basics, Language Translater App
2 Lessons
Deep Learning & Gen AI
2 Lessons
Deep Learning & Gen AI
2 Lessons
Introduction to Deep Learning, Hidden Layer, Input Layer & Output Layer, Iloc, Terms in Deep Learning, Introduction to ADAM, Blinkit Dashboard -> Zomato App, vlookup, hlookup, Introduction to ReLu
2 Lessons
Deep Learning & Gen AI
2 Lessons
Introduction to Generative AI, What Generative AI can create (text, image, audio, video, code), Real-life uses of Generative AI, Difference between AI, ML, and Generative AI, How Generative AI learns from data (basic idea), Writing clear prompts for beginners
2 Lessons
Deep Learning & Gen AI
1 Lessons
28th February
1 Lessons
Deep Learning & Gen AI
2 Lessons
1st March
1 Lessons
Deep Learning & Gen AI
1 Lessons
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