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Course content
Sections:
10
•
Activities:
0
•
Resources:
71
- 001 Python For machine Learning Setting up the Environment Anaconda 4osS gitir
- 002 Downloading and Setting up Python and PyCharm IDE Q0c8 gitir
- 003 Python For Absolute Beginners Variables Part 1 RSwh gitir
- 004 Python For Absolute Beginners Variables Part 2 py2W gitir
- 005 Python For Absolute Beginners Variables Part 3 dEyI gitir
- 006 Python For Absolute Beginners Lists FEES gitir
- 007 Python For Absolute Beginners Lists Part 2 R3iB gitir
- 008 Python For Absolute Beginners Lists Part 3 jaNF gitir
- 009 If conditions d8dk gitir
- 010 If else lMyg gitir
- 011 boolean dF0X gitir
- 012 loops 57vD gitir
- 013 demo wSUn gitir
- 014 Simple Python Demos N8RR gitir
- 015 Software Design Flowcharts Sequence zSXS gitir
- 016 Software Design Repetition 5Oqx gitir
- 017 Software Design Problem Solving ubue gitir
- 018 Flowcharts Questions and Answers Problem Solving V9V0 gitir
- 019 Understanding Data with Statistics Reading data from file r3Hv gitir
- 020 Understanding Data with Statistics Checking dimensions of Data vr3N gitir
- 021 Understanding Data with Statistics Statistical Summary of Data 1Ecy gitir
- 022 Understanding Data with Statistics Correlation between attributes tCeV gitir
- 023 Data Pre processing Scaling with a demonstration in python yGBJ gitir
- 024 Data Pre processing Normalization Binarization Standardization in Python ric5 gitir
- 025 feature Selection Techniques Univariate Selection ADEU gitir
- 026 Data preparation and Bar Chart zFLj gitir
- 027 Data Visualization with Python Histogram Pie Chart etc PxFN gitir
- 028 Introduction to Artificial Neural Networks TbeT gitir
- 029 Creating the First ANN from Scratch with Python lJJk gitir
- 030 Multiple Input Neuron 6HMm gitir
- 031 Creating a simple layer of neurons with 4 inputs Python From scratch Oki5 gitir
- 032 ANN Illustrative Example P2BM gitir
- 033 KERAS Tutorial Developing an Artificial Neural Network in Python Step by Step 53QK gitir
- 034 Deep Learning Handwritten Digits Recognition Step by Step Complete Project ozdI gitir
- 035 Lecture Demo Naive bayes classifier sl3W gitir
- 036 Setting up the Environment for NLP ACH s1Bl gitir
- 037 Introduction to Tokenization y7wt gitir
- 038 Downloading and Setting up NLTK njYf gitir
- 039 Tokenization Tutorial Gmod gitir
- 040 Introduction to Normalization 6W3G gitir
- 041 Normalization Tutorial bpUP gitir
- 042 Introduction to Part of Speech Tagging xRUS gitir
- 043 Part of Speech Tagging Tutorial GYCB gitir
- 044 Introduction to Stopwords pGoM gitir
- 045 Named Entity Recognition Lecture lBY8 gitir
- 046 Named Entity Recognition Tutorial k9sr gitir
- 047 Classification Lecture GW5I gitir
- 048 Classification Tutorial Part 1 Preprocessing movie reviews 85Nv gitir
- 049 Classification Tutorial Part 2 Feature Sets a742 gitir
- 050 Classification Tutorial Part 3 Naive Bayes wwNn gitir
- 051 Classification Homework Exercise EIZ9 gitir
- 052 Real World Applications of NLP Complete Project Introduction 7cPp gitir
- 053 Creating a Twitter Application v6sf gitir
- 054 Getting the Test Set YCha gitir
- 055 Preparing the Training Set gWW7 gitir
- 056 Preprocessing sn8z gitir
- 057 Classification ssTh gitir
- 058 Testing the Model GAr3 gitir
- 059 Linear regression WVMX gitir
- 060 Univariate Linear Regression Demo Hands on Part 1 Linear Regression cyqr gitir
- 061 Univariate Linear Regression Demo Hands on Part 2 Linear Regression n33L gitir
- 062 clustering 8Xoj gitir
- 064 Advanced Machine Learning Techniques Lr7g gitir
- 065 CNN Architecture 0eLq gitir
- 066 Large Language Models AlnK gitir
- 067 Transformers SfMZ gitir
- 068 Deep Generative Models 5bLO gitir
- 069 Deep Neural Networks PLi9 gitir
- 070 Deep Sequence Models eVGl gitir
- 071 Reinforcement Learning gqSW gitir
- 072 Status of Deep Learning SqTP gitir