CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY (A)
  • E1-E2-E3-Data Analytics for signal processing -(PE-III)-VI-2020-21
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    slip test
    Slip test-1
    DASP-SLIP TEST-2
    DASP VIDEO LINKS
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210208-1-introduction to data analytics
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210209-2-introduction to probability
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210212-3-probability distribution functions
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210215-4-central limit theorem
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210216-5-sample distribution
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210217-6-Hypothesis testing
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210222-7-problems on hypothesis testing
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210223-8- ANOVA
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210224-9-multiple ANOVA
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210301-10-introduction to learning concepts
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210302-11-introduction to regression-
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210308-12-machine learning concepts
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210309-13-ridge regression and lasso regression
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210310-14-1 unit revision
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210315-15-classification of Machine learning algorithms
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210322-16-model validation approaches and logistic regression
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210322-17- LDA and QDA
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210323-18-SVM
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210324-19-SVM PROBLEM AND ENSEMBLE LEARNING
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210330-20-Introduction to clustering and k means algorithm
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210406-21-PCA
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210409-22-Hierarchical clustering: Agglomerative, Divisive and distance measure
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210412-23-INTRODUCTION TO NEURAL NETWORKS
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210416-24-2nd unit revision
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210423-25-PERCEPTRON ALGORITHM
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210426-26-MULTILAYER PERCEPTRON ALGORITHM
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210427-27-backpropagation algorithm
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210430-28-BACK PROPAGATION ALGORITHM EXAMPLE
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210503-29-PYTHON BASICS
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210504-30-SPEECH PRODUCTION AND RECOGNITION
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210507-31-SPECTRAL REPRESENTATION OF SPEECH/AUDIO, SPECTROGRAM
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210510-32-NLP:TEXT PRE PROCESSING
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210511-33-Transformation of images using Python
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210517-34-Segmentation and Feature extraction
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210518-35-Image compression using k-means clustering algorithm
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210521-36-clustering
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210524-37-ANN
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210525-38-MLP
    AY2021-UG-SEM-6-ECE123-18ECE12-DASP-NCH-20210528-39-Python Programming
    DASP MATERIAL
    UNIT-1
    UNIT-2
    UNIT-3 Supervised
    UNIT-3 UNSUPERVISED
    UNIT-3 Neural Networks
    UNIT-IV SPEECH/AUDIO
    UNIT-IV Natural Language Processing
    UNIT-V DATA ANALYTICS IN IMAGE PROCESSING
    DASP QUESTION BANK
    DASP Assignment-2
    Assignment-2
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    E1-E2-E3-Data Analytics for signal processing -(PE-III)-VI-2020-21
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    3. Electronics and Communications Engineering
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    5. Academic Year 2020-21
    6. VI Semester
    7. E1-E2-E3-Data Analytics for signal processing -(PE-III)-VI-2020-21
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    E1-E2-E3-Data Analytics for signal processing -(PE-III)-VI-2020-21

    • Teacher: Sri. Mr. Chintaiah N Assistant Professor
    Skill Level: Beginner

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