38.98 GB | 34min 13s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Welcome Page.mp4 (51.49 MB)
1 -Transformer Types.mp4 (127.41 MB)
10 -BERT Pre Tuning (Masked LM).mp4 (50.1 MB)
11 -BERT Input Embeddings.mp4 (62.12 MB)
12 -ARLM vs AELM.mp4 (43.4 MB)
13 -RoBERTa.mp4 (60.41 MB)
14 -DistilBERT.mp4 (92.38 MB)
15 -AlBERT.mp4 (112.4 MB)
16 -Introduction to GPT (Decoder Only).mp4 (30.54 MB)
17 -GPT Architecture.mp4 (27.73 MB)
18 -GPT Masked Multi Head Attention.mp4 (85.96 MB)
19 -GPT Blocks.mp4 (48.92 MB)
2 -Introduction to Transformers.mp4 (145.8 MB)
20 -GPT Training.mp4 (54.63 MB)
21 -LLM Basics Context Window.mp4 (56.2 MB)
22 -LLM Basics Prompt.mp4 (63.94 MB)
23 -LLM Basics Prompt Engineering.mp4 (119.88 MB)
24 -LLM Basics Prompt Tuning.mp4 (57.09 MB)
25 -LLM Basics Prompt Structures.mp4 (106.9 MB)
26 -RAGs Introduction to RAG.mp4 (5.72 MB)
27 -RAGs What and Why.mp4 (119.24 MB)
28 -RAGs Use Cases.mp4 (138.77 MB)
29 -RAGs Paper Explanation.mp4 (53.32 MB)
3 -Self Attention.mp4 (125.4 MB)
30 -RAGs Architecture Explanation.mp4 (106.51 MB)
31 -RAGs Detailed Architecture Walkthrough.mp4 (74.79 MB)
32 -RAGs Practical Use Cases.mp4 (256.53 MB)
33 -LangChain.mp4 (83.3 MB)
34 -Introduction to Prompt Engineering.mp4 (80.96 MB)
35 -Types of Prompting.mp4 (90.41 MB)
36 -Few Shot Limitations.mp4 (50.66 MB)
37 -Chain of Thoughts Prompting.mp4 (45.02 MB)
38 -Vector Databases.mp4 (86.44 MB)
39 -Vector Database vs Vector Index.mp4 (60.82 MB)
4 -Encoder Architecture.mp4 (47.99 MB)
40 -How Vector Databases works.mp4 (72.07 MB)
41 -Vector Database (Practicals).mp4 (260.83 MB)
42 -LSH.mp4 (85.36 MB)
5 -Contextual Embeddings.mp4 (30.2 MB)
6 -Decoder Architecture.mp4 (31.39 MB)
7 -Introduction to BERT.mp4 (72.09 MB)
8 -Configurations of BERT.mp4 (25.37 MB)
9 -BERT Fine Tuning.mp4 (21.34 MB)
1 -Deployment Basics.mp4 (27.39 MB)
2 -Introduction to Flask.mp4 (72.2 MB)
3 -Flask Basic App.mp4 (88.42 MB)
4 -Model Building (Breast Cancer Prediction).mp4 (135.84 MB)
5 -Flask App (Breast Cancer Prediction).mp4 (187.83 MB)
6 -AWS.mp4 (58.89 MB)
7 -AWS Deployment (Breast Cancer Prediction).mp4 (238.25 MB)
1 -Introduction to Data Engineering.mp4 (3.25 MB)
10 -Data lake vs Data Warehouse.mp4 (28.52 MB)
11 -Elements of Datalake.mp4 (14.58 MB)
2 -What is ETL.mp4 (39.27 MB)
3 -ETL Tools.mp4 (25.14 MB)
4 -What is Data Warehouse.mp4 (26.63 MB)
5 -Benefits of Data Warehouse.mp4 (18.9 MB)
6 -Data Warehouse Structure.mp4 (19.13 MB)
7 -Why do we need Staging.mp4 (30.38 MB)
8 -What are Data Marts.mp4 (11.84 MB)
9 -Data Lake.mp4 (22.44 MB)
1 -ChatScholar (EdTech Project).mp4 (399.7 MB)
2 -Research RAG Chatbot.mp4 (295.13 MB)
3 -Automated AI Claims Processing using Gen AI.mp4 (403.93 MB)
4 -Multi PDF RAG Chatbot built on Web Scraped Data.mp4 (309.7 MB)
5 -AI Career Coach Part 1.mp4 (93.98 MB)
6 -AI Career Coach Part 2.mp4 (112.49 MB)
7 -AI Career Coach Part 3.mp4 (223.18 MB)
1 -Introduction to Python.mp4 (94.25 MB)
10 -Map Reduce Filter.mp4 (514.75 MB)
11 -File Handling.mp4 (327.29 MB)
12 -Control Structures.mp4 (171.9 MB)
13 -OOPs.mp4 (335.18 MB)
14 -NumPy.mp4 (485.43 MB)
15 -Pandas.mp4 (567.4 MB)
16 -Data Visualization.mp4 (113.44 MB)
17 -Matplotlib.mp4 (449.69 MB)
18 -Seaborn.mp4 (325.23 MB)
2 -Variables & Keywords.mp4 (352.33 MB)
3 -Datatypes Operators.mp4 (364.22 MB)
4 -Lists.mp4 (465.6 MB)
5 -Tuples.mp4 (424.24 MB)
6 -Sets.mp4 (220.6 MB)
7 -Dictionary.mp4 (297.26 MB)
8 -Loops & Iterations.mp4 (336.17 MB)
9 -Functions.mp4 (393.85 MB)
1 -Introduction.mp4 (42.33 MB)
10 -Types of Sampling.mp4 (20.74 MB)
11 -Cluster Random Sampling.mp4 (30.59 MB)
12 -Probability Sampling.mp4 (40.69 MB)
13 -Non probability sampling.mp4 (31.45 MB)
14 -Population Sampling.mp4 (56.37 MB)
15 -Why n-1 and not n.mp4 (32.83 MB)
16 -Descriptive Analytics (Agenda).mp4 (4.97 MB)
17 -Measures of Central Tendency.mp4 (9.09 MB)
18 -Mean.mp4 (26.98 MB)
19 -Median.mp4 (36.45 MB)
2 -Types of Data (Agenda).mp4 (3.18 MB)
20 -Mode.mp4 (28.12 MB)
21 -Measures of Dispersion.mp4 (21.57 MB)
22 -Range.mp4 (7.26 MB)
23 -IQR.mp4 (19.47 MB)
24 -Variance Standard Deviation.mp4 (56.38 MB)
25 -Mean Deviation.mp4 (18.94 MB)
26 -Probability (Agenda).mp4 (4.67 MB)
27 -Probability.mp4 (41.99 MB)
28 -Addition Rule.mp4 (45.38 MB)
29 -Independent Events.mp4 (25.97 MB)
3 -Descriptive Stats.mp4 (79.79 MB)
30 -Cumulative Probability.mp4 (29.42 MB)
31 -Conditional Probability.mp4 (57.91 MB)
32 -Bayes Theorem 1.mp4 (9.45 MB)
33 -Bayes Theorem 2.mp4 (24.97 MB)
34 -Probability Distrubution (Agenda).mp4 (10.38 MB)
35 -Uniform Distribution.mp4 (44.12 MB)
36 -Binomial Distribution.mp4 (70.84 MB)
37 -Poisson Distribution.mp4 (18.84 MB)
38 -Normal Distribution Part 1.mp4 (77.48 MB)
39 -Normal Distribution Part 2.mp4 (34.26 MB)
4 -Inferential Stats.mp4 (13.38 MB)
40 -Skewness.mp4 (25.21 MB)
41 -Kurtosis.mp4 (14.06 MB)
42 -Calculating Probability with Z-score for Normal Distribution Part 1.mp4 (49.64 MB)
43 -Calculating Probability with Z-score for Normal Distribution Part 2.mp4 (46.98 MB)
44 -Calculating Probability with Z-score for Normal Distribution Part 3.mp4 (27 MB)
45 -Covariance & Correlation (Agenda).mp4 (2.68 MB)
46 -Covariance.mp4 (54.35 MB)
47 -Correlation.mp4 (86.55 MB)
48 -Covariance VS Correlation.mp4 (26.64 MB)
49 -Hypothesis Testing.mp4 (52.89 MB)
5 -Qualitative Data.mp4 (50.03 MB)
50 -Tailed Tests.mp4 (16.83 MB)
51 -p-value.mp4 (32 MB)
52 -Types of Test.mp4 (26.87 MB)
53 -T Test.mp4 (51.26 MB)
54 -Z Test.mp4 (67.39 MB)
55 -Chi Square Test.mp4 (67.34 MB)
56 -ANOVA.mp4 (68.94 MB)
57 -Correlation Test (Practicals).mp4 (44.6 MB)
6 -Quantitative Data.mp4 (20.51 MB)
7 -Sampling Techniques (Agenda).mp4 (7.62 MB)
8 -Population vs Sample.mp4 (17.9 MB)
9 -Why Sampling is important.mp4 (17 MB)
1 -Agenda.mp4 (15.24 MB)
10 -Standardization Example.mp4 (22.66 MB)
11 -Normalization Example.mp4 (13.95 MB)
12 -Feature Scaling (Practicals).mp4 (111.56 MB)
13 -Outlier Treatment (Theory).mp4 (59.81 MB)
14 -Outlier Treatment (Practicals).mp4 (41.94 MB)
15 -Invalid Data.mp4 (42.51 MB)
16 -Types of Data.mp4 (10.97 MB)
17 -Types of Analysis.mp4 (12.03 MB)
18 -Univariate Analysis.mp4 (54.11 MB)
19 -Bivariate Analysis.mp4 (35.65 MB)
2 -DA,DS Processes.mp4 (24.27 MB)
20 -Multivariate Analysis.mp4 (5.23 MB)
21 -Numerical Analysis.mp4 (19.41 MB)
22 -Analysis Practicals.mp4 (211.54 MB)
23 -Derived Metrics.mp4 (26.53 MB)
24 -Feature Binning (Theory).mp4 (44.16 MB)
25 -Feature Binning (Practicals).mp4 (71.01 MB)
26 -Feature Encoding (Theory).mp4 (83.76 MB)
27 -Feature Encoding (Practicals).mp4 (169.81 MB)
28 -Case Study.mp4 (79.59 MB)
29 -Data Exploration.mp4 (151.44 MB)
3 -What is EDA.mp4 (27.14 MB)
30 -Data Cleaning.mp4 (73.51 MB)
31 -Univariate Analysis.mp4 (97.59 MB)
32 -Bivariate Analysis Part 1.mp4 (129.32 MB)
33 -Bivariate Analysis Part 2.mp4 (54.46 MB)
34 -EDA Report.mp4 (35.83 MB)
4 -Visualization.mp4 (30.52 MB)
5 -Steps involved in EDA (Data Sourcing).mp4 (28.8 MB)
6 -Steps involved in EDA (Data Cleaning).mp4 (30.44 MB)
7 -Handle Missing Values (Theory).mp4 (58.52 MB)
8 -Handle Missing Values (Practicals).mp4 (92.11 MB)
9 -Feature Scaling (Theory).mp4 (74.23 MB)
1 -Installation.mp4 (59.09 MB)
10 -Aggregation Functions.mp4 (211.19 MB)
11 -String functions.mp4 (287.89 MB)
12 -Date Time Functions.mp4 (233.88 MB)
13 -Regular Expressions.mp4 (160.7 MB)
14 -Nested Queries.mp4 (263.49 MB)
15 -Views.mp4 (222.76 MB)
16 -Stored Procedures.mp4 (439.12 MB)
17 -Windows Function.mp4 (365.77 MB)
18 -SQL Python connectivity.mp4 (341.27 MB)
2 -Data Architecture - File server vs client server.mp4 (119.34 MB)
3 -Introduction to SQL.mp4 (164.5 MB)
4 -Constraints in SQL.mp4 (289.4 MB)
5 -Table Basics - DDLs.mp4 (396.54 MB)
6 -Table Basics - DQLs.mp4 (290.03 MB)
7 -Table Basics - DMLs.mp4 (461.59 MB)
8 -Joins.mp4 (448.42 MB)
9 -Data Import Export.mp4 (545.58 MB)
1 -Agenda.mp4 (13.74 MB)
10 -Pre-Requisites Normalization Example.mp4 (13.95 MB)
11 -Pre-Requisites Feature Encoding.mp4 (83.76 MB)
12 -Pre-Requisites Feature Encoding (Practicals).mp4 (78.84 MB)
13 -Regression Introduction to Regression Models.mp4 (38.9 MB)
14 -Regression Regression Metrics.mp4 (151.37 MB)
15 -Regression Regression Metrics (Practicals).mp4 (102.58 MB)
16 -Regression Simple Linear Regression.mp4 (55.94 MB)
17 -Regression Multiple Linear Regression.mp4 (51.48 MB)
18 -Regression Linear Regression (Practicals).mp4 (210.8 MB)
19 -Regression Multiple Linear Regression (Practicals).mp4 (96.24 MB)
2 -Introduction to ML.mp4 (32.17 MB)
20 -Regression Polynomial Regression.mp4 (39.25 MB)
21 -Regression Polynomial Regression (Practicals).mp4 (176.58 MB)
22 -Regression Bias Variance Tradeoff.mp4 (30.95 MB)
23 -Regression Ridge Regression.mp4 (55.15 MB)
24 -Regression Lasso Regression.mp4 (43.86 MB)
25 -Regression Lasso & Ridge Regression (Practicals).mp4 (335.38 MB)
26 -Classification Introduction to Classification.mp4 (41.27 MB)
27 -Classification Types of Classification.mp4 (25.69 MB)
28 -Classification Log Loss.mp4 (63.61 MB)
29 -Classification Confusion Matrix.mp4 (72.79 MB)
3 -Types of ML.mp4 (104.93 MB)
30 -Classification AUC ROC Curve.mp4 (48.57 MB)
31 -Classification Classification Report.mp4 (47.22 MB)
32 -Classification kNN Classifier.mp4 (80.8 MB)
33 -Classification kNN Classifier Example.mp4 (78.01 MB)
34 -Classification Practicals Part 1.mp4 (100.52 MB)
35 -Classification kNN Classifier (Practicals).mp4 (115.41 MB)
36 -Classification Decision Tree.mp4 (72.98 MB)
37 -Classification Decision Tree (Entropy based).mp4 (112.46 MB)
38 -Classification Decision Tree (gini based).mp4 (104.23 MB)
39 -Classification Decision Tree (Practicals).mp4 (66.53 MB)
4 -Use Cases Part 1.mp4 (19.87 MB)
40 -Classification Decision Tree (Visualizing).mp4 (160.32 MB)
41 -Classification Random Forest Classifier.mp4 (40.94 MB)
42 -Classification Random Forest Classifier (Practicals).mp4 (46.69 MB)
43 -Classification Naive Bayes Classifier.mp4 (89.9 MB)
44 -Classification SVM Classifier Part 1.mp4 (71.78 MB)
45 -Classification SVM Classifier Part 2.mp4 (60.17 MB)
46 -Classification Logistic Regression.mp4 (119.15 MB)
47 -Classification Practicals so far.mp4 (218.7 MB)
48 -Classification Issues in Classification (Part 1).mp4 (48.41 MB)
49 -Classification Issues in Classification (Part 2).mp4 (80.24 MB)
5 -Use Cases Part 2.mp4 (8.04 MB)
50 -Classification Project.mp4 (308.88 MB)
51 -Ensemble Introduction to Ensemble Learning.mp4 (117.94 MB)
52 -Ensemble Bagging.mp4 (50.65 MB)
53 -Ensemble Bagging vs Random Forest.mp4 (91.07 MB)
54 -Ensemble Bagging (Practicals #1).mp4 (241.19 MB)
55 -Ensemble Bagging (Practicals #2).mp4 (178.06 MB)
56 -Ensemble Boosting.mp4 (41.91 MB)
57 -Ensemble Ada Boost.mp4 (97.89 MB)
58 -Ensemble Gradient Boost.mp4 (20.82 MB)
59 -Ensemble CF vs LF.mp4 (47.15 MB)
6 -Pre-Requisites Features.mp4 (88.74 MB)
60 -Ensemble Cross Entropy.mp4 (22.06 MB)
61 -Ensemble Xtreme Gradient Boosting (XGB).mp4 (94.38 MB)
62 -Ensemble Project.mp4 (210.58 MB)
63 -Clustering Introduction to Clustering.mp4 (104.01 MB)
64 -Clustering kMeans Clustering.mp4 (121.01 MB)
65 -Clustering kMeans Clustering (Practicals).mp4 (133.4 MB)
66 -Clustering Hierarchical Clustering.mp4 (81.94 MB)
67 -Clustering Hierarchical Clustering (Practicals).mp4 (106.49 MB)
68 -Clustering Mean Shift Clustering.mp4 (73.35 MB)
69 -Feature Engineering Introduction.mp4 (87.4 MB)
7 -Pre-Requisites Train-Test Split.mp4 (115.75 MB)
70 -Feature Engineering RFE and SFS.mp4 (29.05 MB)
71 -Feature Engineering RFE (Practicals).mp4 (190.89 MB)
72 -Feature Engineering Successive Feature Selection.mp4 (180.08 MB)
73 -Feature Engineering Chi-Square.mp4 (31.7 MB)
74 -Feature Engineering Chi-Square (Practicals).mp4 (54.64 MB)
75 -Feature Engineering Principal Component Analysis.mp4 (258.21 MB)
76 -Feature Engineering Principal Component Analysis (Practicals).mp4 (79.7 MB)
77 -Feature Engineering Linear Discriminant Analysis.mp4 (54.25 MB)
78 -Feature Engineering Linear Discriminant Analysis (Practicals).mp4 (84.87 MB)
79 -Feature Engineering kPCA & QDA.mp4 (53.51 MB)
8 -Pre-Requisites Feature Scaling.mp4 (74.24 MB)
80 -Feature Engineering kPCA & QDA (Practicals).mp4 (50.71 MB)
81 -Hyper Parameter Optimization Basics.mp4 (76.02 MB)
82 -Hyper Parameter Optimization Manual HPO.mp4 (31.87 MB)
83 -Hyper Parameter Optimization GridSearch vs RandomizedSearch.mp4 (70.77 MB)
84 -Hyper Parameter Optimization Manual HPO (Practicals).mp4 (164.77 MB)
85 -Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4 (138.78 MB)
86 -Hyper Parameter Optimization GridSearchCV (Practicals).mp4 (60.41 MB)
9 -Pre-Requisites Standardization Example.mp4 (22.66 MB)
1 -Introduction to TSA.mp4 (23.29 MB)
10 -Testing TS Stationarity.mp4 (43.64 MB)
11 -Transformation.mp4 (21.42 MB)
12 -Introduction to Pre-Processing.mp4 (17.81 MB)
13 -Handle Missing Value.mp4 (58.55 MB)
14 -Handle Missing Value (Practicals).mp4 (92.12 MB)
15 -Outlier Treatment.mp4 (59.77 MB)
16 -3-Sigma Technique.mp4 (102.73 MB)
17 -Feature Scaling.mp4 (74.24 MB)
18 -Feature Scaling Standardization.mp4 (22.67 MB)
19 -Feature Scaling Normalization.mp4 (13.95 MB)
2 -Time Series vs Regression.mp4 (77.14 MB)
20 -Feature Scaling (Practicals).mp4 (111.6 MB)
21 -Feature Encoding.mp4 (83.77 MB)
22 -Feature Encoding (Practicals).mp4 (78.85 MB)
23 -Models - Algorithms.mp4 (5.79 MB)
24 -Models - ARIMA Part 1.mp4 (11.35 MB)
25 -Models - ARIMA Part 2.mp4 (32.11 MB)
26 -Models - AR Theory.mp4 (41.67 MB)
27 -Models - MA Theory.mp4 (46 MB)
28 -Models - ACFPACF Plots.mp4 (45.36 MB)
29 -Models - Find p,d,q in ARIMA.mp4 (11.88 MB)
3 -Time Series Analysis.mp4 (14.58 MB)
30 -Models - ARIMA (Practicals Part 1).mp4 (90.9 MB)
31 -Models - ARIMA (Practicals Part 2).mp4 (85.74 MB)
32 -Models - ARIMA (Final).mp4 (70.73 MB)
33 -Models - Decomposition.mp4 (31.81 MB)
34 -Models - ACFPACF.mp4 (21.56 MB)
35 -Models - Best Transformation.mp4 (72.32 MB)
36 -Models - Grid Search (Part 1).mp4 (90.15 MB)
37 -Models - Grid Search (Part 2).mp4 (16.93 MB)
38 -Models - Final Model Building.mp4 (83.57 MB)
39 -Models - Facebook Prophet (Part 1).mp4 (52 MB)
4 -Anomaly Detection.mp4 (29.89 MB)
40 -Models - Facebook Prophet (Part 2).mp4 (84.67 MB)
41 -Models - Facebook Prophet (Part 3).mp4 (51.95 MB)
42 -Models - Multi Variate Time Series Analysis.mp4 (42.59 MB)
43 -Models - Facebook Prophet (Uni vs Multi).mp4 (118.2 MB)
44 -Introduction to Metrics.mp4 (29.98 MB)
45 -Forecasting Evaluation Metrics.mp4 (6.72 MB)
46 -Mean Squarred Error.mp4 (7.04 MB)
47 -Root Mean Squarred Error.mp4 (7.1 MB)
48 -Mean Absolute Percentage Error.mp4 (16.31 MB)
49 -Project 1 - Energy Forecasting Part 1.mp4 (25.59 MB)
5 -Components of Time Series.mp4 (46.34 MB)
50 -Project 1 - Energy Forecasting Part 2.mp4 (53.23 MB)
51 -Project 1 - Energy Forecasting Part 3.mp4 (77.66 MB)
52 -Project 2 - Stock Market Prediction Part 1.mp4 (30.64 MB)
53 -Project 2 - Stock Market Prediction Part 2.mp4 (37.68 MB)
54 -Project 2 - Stock Market Prediction Part 3.mp4 (152.52 MB)
55 -Project 3 - Demand Forecasting Part 1.mp4 (24.07 MB)
56 -Project 3 - Demand Forecasting Part 2.mp4 (113.42 MB)
57 -Project 3 - Demand Forecasting Part 3.mp4 (94.14 MB)
58 -Project 3 - Demand Forecasting Part 4.mp4 (10.83 MB)
59 -Project 3 - Demand Forecasting Part 5.mp4 (141.06 MB)
6 -Decomposition.mp4 (6.46 MB)
60 -Project 3 - Demand Forecasting Part 6.mp4 (79.8 MB)
7 -Decomposition (Practicals).mp4 (46.48 MB)
8 -AdditiveMultiplicative Decomposition.mp4 (38.94 MB)
9 -Stationarity.mp4 (28.53 MB)
1 -Introduction to Deep Learning.mp4 (10.62 MB)
10 -Backpropagation & Forward Pass.mp4 (212.37 MB)
11 -Gradient Descent.mp4 (107.42 MB)
12 -Artificial Neural Networks Intuition.mp4 (28.24 MB)
13 -Artificial Neural Networks Practicals.mp4 (140.78 MB)
14 -Artificial Neural Networks Hyper Parameter Optimization.mp4 (101.91 MB)
15 -Convolutional Neural Networks What is CNN.mp4 (123.11 MB)
16 -Convolutional Neural Networks Steps in CNN.mp4 (176.23 MB)
17 -Convolutional Neural Networks Architecture Explained.mp4 (253.06 MB)
18 -Convolutional Neural Networks Image Augmentation.mp4 (205.75 MB)
19 -Convolutional Neural Networks Batch size vs iterations vs epochs.mp4 (120.93 MB)
2 -Understanding Deep Learning.mp4 (92.76 MB)
20 -Convolutional Neural Networks Practicals.mp4 (308.33 MB)
21 -Convolutional Neural Networks Model Summary & Parameters.mp4 (113.47 MB)
22 -Convolutional Neural Networks Project (X-Ray detection).mp4 (260.89 MB)
23 -Recurrent Neural Networks Basics.mp4 (35.18 MB)
24 -Recurrent Neural Networks Types of RNN.mp4 (19 MB)
25 -Recurrent Neural Networks Vanishing Gradient & Exploding Gradient Problem.mp4 (94.64 MB)
26 -Recurrent Neural Networks LSTMs.mp4 (36.19 MB)
27 -Recurrent Neural Networks LSTMs (Practicals).mp4 (88.98 MB)
28 -Pre-Trained Models.mp4 (171.97 MB)
29 -Pre-Trained Models (Practicals).mp4 (214.15 MB)
3 -What is a Neuron.mp4 (132.66 MB)
30 -Pre-Trained Models VGG16.mp4 (75.88 MB)
31 -Pre-Trained Models MobileNet.mp4 (46.76 MB)
32 -Transfer Learning.mp4 (39.19 MB)
33 -Project Pneumonia Detection from X-Ray Images.mp4 (124.27 MB)
4 -Activation Functions.mp4 (70.41 MB)
5 -Activation Function Step Function.mp4 (91.35 MB)
6 -Activation Function Linear Function.mp4 (170.98 MB)
7 -Activation Function Sigmoid Function.mp4 (93.51 MB)
8 -Activation Function TanH Function.mp4 (45.91 MB)
9 -Activation Function ReLu Function.mp4 (148.45 MB)
1 -Intro to NLP Introduction.mp4 (59.1 MB)
10 -NLP Basics nGrams.mp4 (52.28 MB)
11 -NLP Basics Vectorization.mp4 (24.37 MB)
12 -NLP Basics Word Embeddings.mp4 (14.51 MB)
13 -NLP Basics Bag of Words.mp4 (50.68 MB)
14 -NLP Basics Bag of Words (Practicals).mp4 (154.6 MB)
15 -NLP Basics TF-IDF.mp4 (68.59 MB)
16 -NLP Basics TF-IDF (Practicals).mp4 (150.4 MB)
17 -NLP Basics Part of Speech Tagging and Named Entity Recognition.mp4 (57.27 MB)
18 -NLP Basics NER (Practicals).mp4 (96.94 MB)
19 -Word Embeddings Word2Vec Introduction.mp4 (23.68 MB)
2 -Intro to NLP Introduction continued.mp4 (46.87 MB)
20 -Word Embeddings Word2Vec Part 2.mp4 (13.59 MB)
21 -Word Embeddings Pre-Trained Word2Vec.mp4 (62.3 MB)
22 -Word Embeddings Word2Vec Intuition.mp4 (37.53 MB)
23 -Word Embeddings Word2Vec - Check X Features.mp4 (65.76 MB)
24 -Word Embeddings Word2Vec CBOW.mp4 (103.25 MB)
25 -Word Embeddings Word2Vec Skip Grams.mp4 (55.89 MB)
26 -Word Embeddings GloVe.mp4 (79.39 MB)
27 -Word Embeddings FastText.mp4 (141.98 MB)
28 -Word Embeddings Cosine Similarity.mp4 (94.96 MB)
29 -Neural Networks LSTMs Part 1.mp4 (73.43 MB)
3 -Intro to NLP Key Challenges.mp4 (67.52 MB)
30 -Neural Networks LSTMs Part 2 (Architecture).mp4 (106.95 MB)
31 -Neural Networks LSTMs Part 3 (Deep Dive).mp4 (28.26 MB)
32 -Neural Networks LSTMs Part 4 (Pointwise Operations).mp4 (34.74 MB)
33 -Neural Networks LSTMs Part 5 (forget gate).mp4 (61.76 MB)
34 -Neural Networks LSTMs Part 6 (inpute gate).mp4 (115.02 MB)
35 -Neural Networks LSTMs Part 7 (output gate).mp4 (49.5 MB)
36 -Neural Networks LSTMs Part 8 (Practicals #1).mp4 (219.76 MB)
37 -Neural Networks LSTMs Part 9 (Practicals #2).mp4 (90.07 MB)
38 -Neural Networks LSTMs Part 10 (Practicals #3).mp4 (112.51 MB)
39 -Neural Networks GRU Part 1.mp4 (19.82 MB)
4 -Intro to NLP Linguistics.mp4 (31.11 MB)
40 -Neural Networks GRU Part 2.mp4 (146.16 MB)
41 -Neural Networks GRU Part 3 (reset gate).mp4 (41.27 MB)
42 -Neural Networks GRU Part 4 (update gate).mp4 (44.6 MB)
43 -Neural Networks GRU Part 5 (Practicals).mp4 (105.53 MB)
44 -Neural Networks Bi-Directional LSTMs.mp4 (116.33 MB)
5 -NLP Basics Case Folding.mp4 (27.96 MB)
6 -NLP Basics SCR.mp4 (89.81 MB)
7 -NLP Basics Handling Contractions.mp4 (64.58 MB)
8 -NLP Basics Tokenization.mp4 (38.86 MB)
9 -NLP Basics Stop Word Removal.mp4 (40.58 MB)]
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