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Web Development Bootcamp

28 June 2024
2024-06-28×
28 June 2024
actually language saab same hai
S
areh javascript and cpp bohot similar hai
W
Web Development Bootcamp
Haa hai maine dono padhi hai
and love babbar is like woh phd kara deta hai dsa may
S
jo actually kaafi time waste hai
LINUS
Видео
1.1 Probability Fundamentals.mp4 · 725.0 MB · click to show
Видео
1.2 Probability Fundamentals.mp4 · 648.5 MB · click to show
Видео
3 - Covariance, Correlation and Distribution.mp4 · 585.3 MB · click to show
Видео
4 - Everything you need to know about distributions.mp4 · 888.8 MB · click to show
Видео
2.1 Everything you need to knoe about Linear Algebra.mp4 · 761.6 MB · click to show
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2.2 Linear Algebra - Part 2.mp4 · 253.1 MB · click to show
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2.3 Linear Algebra - Part 3.mp4 · 584.3 MB · click to show
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2.4 Types of Matrices.mp4 · 54.7 MB · click to show
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2.6 Cofactor, Adjugate and Inverse.mp4 · 37.4 MB · click to show
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2.7 Traces of a matrix, Hadamard.mp4 · 62.0 MB · click to show
1.1 Probability Fundamentals
Видео
2.8 Systems of Equations and Solving it.mp4 · 64.4 MB · click to show
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3.1 Intro to Python.mp4 · 124.6 MB · click to show
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3.2 More about python.mp4 · 221.5 MB · click to show
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3.4 Atoms of python.mp4 · 278.0 MB · click to show
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3.5 Variables.mp4 · 111.8 MB · click to show
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3.6 Numbers.mp4 · 775.8 MB · click to show
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3.7 Truthfullness.mp4 · 17.1 MB · click to show
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3.8 Input & Output.mp4 · 143.0 MB · click to show
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3.9 Operators.mp4 · 225.3 MB · click to show
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3.10 Conditional Flow.mp4 · 1013.7 MB · click to show
2.8 Systems of Equations and Solving it
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3.11 Lists.mp4 · 391.7 MB · click to show
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3.12 Tuples & Mutability.mp4 · 486.1 MB · click to show
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3.13 Dictionary.mp4 · 551.6 MB · click to show
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3.14 Sets and netsting.mp4 · 904.3 MB · click to show
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3.15 Repetition is bad.mp4 · 36.4 MB · click to show
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3.16 Transferring state.mp4 · 204.9 MB · click to show
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3.17 Lecture 17.mp4 · 208.7 MB · click to show
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3.18 Lecture 18.mp4 · 179.6 MB · click to show
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3.19 Lecture 19.mp4 · 207.4 MB · click to show
3.11 Lists
Видео
4.1 What is numpy.mp4 · 4.8 MB · click to show
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4.2 What is numpy.mp4 · 24.3 MB · click to show
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4.3 Creation of arrays.mp4 · 13.7 MB · click to show
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4.4 Basic operators.mp4 · 11.8 MB · click to show
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4.5 Concept of Slicing and Indexing.mp4 · 8.8 MB · click to show
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4.6 Reshaping, splitting, Stacking Arrays.mp4 · 11.4 MB · click to show
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4.7 Broadcasting.mp4 · 11.0 MB · click to show
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4.8 Plotting Numpy Arrays.mp4 · 16.5 MB · click to show
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4.9 IO Handling with Numpy.mp4 · 8.9 MB · click to show
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4.10 Masking of arrays.mp4 · 5.5 MB · click to show
4.1 What is numpy
Видео
4.11 Structured Arrays.mp4 · 17.8 MB · click to show
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5.1 Introduction to Pandas.mp4 · 3.6 MB · click to show
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5.2 Pandas data structures.mp4 · 6.4 MB · click to show
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5.3 Indexing slicing.mp4 · 7.4 MB · click to show
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5.4 Sorting, Filtering, Mapping of Data.mp4 · 13.0 MB · click to show
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5.5 Data cleaning.mp4 · 145.8 MB · click to show
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5.6 Data Exploration.mp4 · 156.4 MB · click to show
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5.7 Time series analysis with Pandas - 1.mp4 · 119.4 MB · click to show
Видео
5.8 Time series analysis with Pandas - 2.mp4 · 179.2 MB · click to show
Видео
6.2 Reviewing functions for Calculus.mp4 · 30.0 MB · click to show
4.11 Structured Arrays
Видео
6.3 Reviewing Trignometry.mp4 · 52.6 MB · click to show
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6.4 Intro to limits.mp4 · 58.8 MB · click to show
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6.5 Evaluating limits.mp4 · 30.0 MB · click to show
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6.6 Differentiation Part 1.mp4 · 58.4 MB · click to show
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6.7 Basic rule and Quotient Rule.mp4 · 42.6 MB · click to show
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6.8 Product and Quotient Rule.mp4 · 16.0 MB · click to show
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6.9 Chain rule of Differentiation.mp4 · 28.6 MB · click to show
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7.1 Comprehensive Introduction to Machine learning.mp4 · 679.8 MB · click to show
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7.2 Comprehensive Introduction to Machine learning.mp4 · 835.0 MB · click to show
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7.3 Comprehensive Introduction to Machine learning.mp4 · 251.8 MB · click to show
6.3 Reviewing Trignometry
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Видео
7.4 Comprehensive Introduction to Machine learning.mp4 · 156.7 MB · click to show
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7.5 Comprehensive Introduction to Machine learning.mp4 · 200.6 MB · click to show
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8.1 Regression Analysis Foundation.mp4 · 502.4 MB · click to show
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8.2 Regression Analysis Intermediate.mp4 · 296.5 MB · click to show
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8.3 MLE.mp4 · 197.7 MB · click to show
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8.4 MLR Intermediete.mp4 · 367.6 MB · click to show
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8.5 Regresion Advance.mp4 · 307.6 MB · click to show
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8.6 End to end Linear Regression Project.mp4 · 102.1 MB · click to show
Видео
8.7 Ad spend prediction.mp4 · 648.5 MB · click to show
7.4 Comprehensive Introduction to Machine learning
Calendar: June 2024
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