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Cohort 110 - Morning - (DA/DS - SB)
Link, Passcode & Updates Section
Batch 110 - Link & passcode. Last session on Saturday. Sunday will be an off.
Introduction to Data Science and Overview
29th September recording (164:16)
29th September file
Introduction to BI and EXCEL Analytics
5th October Recording part-1 (101:07)
5th October Recording part-2 (53:21)
5th and 6th October Files
6 July
6 July recording (153:59)
EXCEL -class Exercise
13th October Recording (160:44)
13th october file
Python
19th October Recording (158:14)
19th October File
Session data and Assignment -answer key-EXCEL
20th October Recording (155:16)
20th October File
Python data types
26th October Recording (157:06)
26th October File
Python Basics-Data types, variable, Operators,Conditional Statement,Loops
27 October recording (156:16)
27 October files
Python--1. Function & it's type 2. Lambda Function 3. Module-Math ,Random 4. Exceptional Error handling
9th November Recording (158:34)
9th November File
Python--1.Pandas Library --Series, Dataframe, Basics of Statistics
10th November Recording (163:15)
10th November File
Assignments
1. Read the file in panda 2. Basic functions on the data 3. Preprocessing-Missing value treatment
16th November Recording (151:03)
16th November File
1. Preprocessing on data 2. Data Type conversion- Replace, 1-Hot Encoding, Label Encoder 3. Duplicate checking 4. Library- Numpy
17th November Recording (154:37)
17th November Files
Assignment-Coding Challenge Assignment No 2-Python
1) Numpy lib. 2)Exploratory Data Analysis 3) Introduction to Class Imbalance|
23rd November Recording (151:44)
23rd November File
1) Introduction to Class Imbalance 2) Class Imbalance treatment
30th November Recording (150:50)
30th November File
1) Introduction to Outlier 2) Outlier Treatment
1st December Recording (153:05)
1st December File
1. Skewness 2.Python Visualization By Matplotlib
7th December Recording (146:45)
7th December File
1. visualization 2. Correlation
8th December Recording (152:49)
8th December Files
Inferential Statistics
14th December Recording Part-1 (15:42)
14th December Recording part-2 (143:17)
File
1. Introduction to ML 2. Types of ML 3. Supervised ML--Introduction to Linear Regression
15th December Recording (153:16)
File
Machine Learning--Linear Regression(Theory + Practical) -- Introduction to LASSO(L1) & RIDGE(L2) -- Overfitting & Underfitting concept --Feature Selection by LASSO
21st December Recording (151:03)
21st December Files
Machine Learning--LASSO (Theory + Practical) -Ridge (Theory + Practical -Feature Selection by LASSO -Logistic Regression (Theory) -Confusion Matrix
22nd December Recording (154:39)
File
Machine Learning--Logistics Regression( Practical) , Approach with multiple files , Car data Assignment, Decision Tree (Theory)
28 December Recording (150:46)
28th December file
Decision Tree(Practical) , Random Forest (Theory +Practical), Practical approach for 3 files for one project, KNN (Theory)
29th December Recording (147:06)
29th December file
KNN [Theory +Practical] , NB [Theory +Practical ], SVM [Theory +Practical ], Boosting [Adaboost, XGBoost], Feature Selection [DT,RF,ChiSqurae test]
4th January recording (151:40)
4th January File
1. Feature selection --RFE, Boruta 2.Unsupervised learning ML 3. K-Means (Theory + Practical) 4. DBSCAN (Theory)
5th January recording (150:50)
5th January file
DBSCAN (Theory+ Practical) 2.PCA(Theory + Practical) 3. Validation
11th January Recording (151:14)
11th January File
Advance EXCEL-- Correlation, Covariance, Regression Time Series--Introduction
18th January Recording (153:07)
Files
NLP--Theory
19th January Recording (151:11)
File
Time Series-Practical NLP-Practical, Word cloud Deep Learning
25th January Recording (150:33)
Files
Brief about Artificial Neural N/W, Introduction to MySQL,Step by step guide for MySQL Workbench
1st February Recording (145:29)
1st February File
DDL-CREATE, DROP, ALTER,RENAME,TRUNCATE DML:INSERT INTO
2nd February recording (143:59)
File
MySQL-DML,DCL,TCL,CONSTRAINTS-UNIQUE,NOT NULL
8th February Recording (145:38)
File
MySQL--CONSTRAINTS-PRIMARY KEY, FOREIGN KEY, DEFAULT, CHECK Functions- limit, sum, avg, count, min, max
9th February Recording (150:07)
File
New section
16th February Recording (181:50)
Power BI: Installation Introduction Charts Table
22nd February Recording part-1 (6:16)
22nd February Recording part-2 (3:31)
22nd February Recording part-3 (78:57)
22nd February Recording part-4 (44:28)
Power BI: Installation Introduction Charts Table
23rd February Recording (148:14)
22nd & 23rd February File
Power BI -Charts
1st March Recording (154:47)
Files
Power BI -Charts,filters
2nd March Recording (149:13)
File
Power BI -Filters, Slicers, Text function( Power query)
8th March Recording (148:34)
File
Power Query DAX Expression
Files
22 March
22 March recording (172:54)
Further Placement Assistance Process
Further Placement Assistance Process (54:17)
Career Building Session
Career Building Session part-1 (112:39)
Career Building Session part-2 (112:39)
Career Building Session part-3 (86:39)
Files
Sample GitHub profiles
Interview Questions and Answers
Data
Sample resumes for experienced
Power BI- Last session (Dashboard) Interview Question discussion
29th March Recording (137:59)
Files
22nd & 23rd February File
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