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Cohort 115 - (DA/DS/GenAI) ( TM)
Link, Passcode & Update Section
Cohort 115 - Further Placement Assistance
Induction Lecture - 29th December
29th December Recording (112:46)
Data Science Introduction, BI,Data Mining, Data Engineering.
4 January Recording (159:48)
4th January File
Anaconda installation, Intro to Data Science and its application.
5th January recording (144:08)
5th January file
Operators and String
11 January Recording (148:18)
Operators and String
12th January Recording (154:17)
11th and 12th January Files
Tuple, Dictionary, Set
18th January Recording (159:33)
Files
For, If, elif, while loop
19th January Recording (157:25)
File
Numpy
1st February Recording (146:05)
File
Pandas
2nd February recording (150:59)
File
Panda, OOPS in python
8th February Recording (156:58)
File handling, exception handling
9th February Recording (152:19)
8th and 9th February Files
Data visualization Basic
22nd February Recording (156:22)
Data visualization advance. Maths for ML
23rd February Recording (149:24)
22nd & 23rd February Files
Maths for ML, vector, scalar, calculus
1st March Recording (146:49)
Stats- Mean mode median skewness, Kurtosis, Differential stats.
2nd March Recording (157:45)
1st & 2nd March Files
Stats, Probability
8th March Recording (125:40)
EDA- Automatic EDA, Manual EDA.
9th March recording (158:05)
files for 8th and 9th March
SQL Basics
15th March Recording (150:07)
advance SQL like Joins
16th March Recording (158:56)
15th and 16th March Files
Basics of Excel, Data Analysis, Regression, Formulas and more
22nd March Recording (153:51)
Advanced Excel: What if analysis, Dashboard, Pivot table
23rd March Recording (155:00)
22nd & 23rd march files
Machine Learning basics, types applications, tools introduction.
29th March Recording (150:40)
File
Linear Regression , L1 , L2 regularization, Algorithms and practicals
30th March Recording (161:36)
File
Logistic regression, KNN
5th April Recording (158:14)
Decision tree, Random forest (only theory)
6th April Recording (145:09)
5th and 6th April Files
Logistic regression, KNN
6th April Recording (166:53)
Random Forest Algorithm: Regressor and classifier, Naive Bayes
12th april recording (166:53)
SVM, K mean clustering, ensemble learning.
13th April recording (148:48)
12th & 13th April Files
NLP Basics, Text preprocessing one hot encoding, get dummies,
19th April Recording (124:39)
File
POS, stemming lemmatization, NLP chinking
20th April Recording (153:40)
File
NLP Mini projects on Resume and SMS (SPAM and HAM) Perceptron, DL into
26th April Recording part-1 (16:49)
26th April Recording part-2 (132:23)
Files
Dataset
ANN, Activation function, Program
3rd May Recording (146:11)
Power BI along with Complete dashboard
4th May recording (156:38)
3rd and 4th may files
Career Building Session
Career Building Session part-1 (99:15)
Career Building Session part-2 (96:26)
Files
DAX Expression, AI and Cloud Computing
17th May Recording (150:13)
Streamlit with Programs in ML, SDLC, Agile
18th May Recording (168:51)
17th & 18th May Files
14th June
Gen AI Recording (129:59)
File
15th June
15th June Recording (124:02)
File
16th June
Gen AI Recording (128:19)
File
17th june
Gen AI Recording (145:41)
File
18th June
Gen AI Recording (119:43)
File
Career Building Session
Career Building Session part-1 (97:04)
Career Building Session part-2 (101:16)
Career Buidling Sessions material
Further Placement Assistance Process
Further Placement Assistance Process (32:58)
Resumes building and Sample Interview Questions
Sample Resume
Sample Resume
Sample Interview Questions
Handy Tips for Aspiring Data Scientist to make a resume
Company wise Data Science Questions
What should a candidate ask in an interview
Resume tutorial
Building Skillset
Data
Guesstimates1
Interview Questions and Answers
Online Presence
Questions
Resume tips
Sample GitHub profiles
Sample resumes for experienced
6th September
Resume Building Session (116:30)
File
files for 8th and 9th March
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