| 1. Create some set of features like [ first_word , last_word & length_diff ].mp4 | 99.5 MB | ||
| 1. Create some set of features like [ first_word , last_word & length_diff ].srt | 18.7 KB | ||
| 1. Datasets & Resources.html | 204.8 B | ||
| 1. How to Overcome with the contractions of data !.mp4 | 92.6 MB | ||
| 1. How to Overcome with the contractions of data !.srt | 17.4 KB | ||
| 1. Introduction to course & its benefits.mp4 | 42.2 MB | ||
| 1. Introduction to course & its benefits.srt | 7.2 KB | ||
| 1. Lecture 28.mp4 | 109 MB | ||
| 1. Lecture 28.srt | 18.3 KB | ||
| 1. Lecture 31.mp4 | 85.7 MB | ||
| 1. Lecture 31.srt | 17.7 KB | ||
| 1. Lecture 36.mp4 | 109.6 MB | ||
| 1. Lecture 36.srt | 20.6 KB | ||
| 1. Lecture 37.mp4 | 88.3 MB | ||
| 1. Lecture 37.srt | 15.8 KB | ||
| 1. Perform Basic Stats on Data...mp4 | 62.4 MB | ||
| 1. Perform Basic Stats on Data...srt | 13.5 KB | ||
| 1. String Matching using fuzz ratio.mp4 | 76.1 MB | ||
| 1. String Matching using fuzz ratio.srt | 14.4 KB | ||
| 1. find frequency of questions-ID.mp4 | 62.1 MB | ||
| 1. find frequency of questions-ID.srt | 11.3 KB | ||
| 2. Finding Length of questions.mp4 | 86.5 MB | ||
| 2. Finding Length of questions.srt | 13 KB | ||
| 2. How to remove special characters from data.mp4 | 110.8 MB | ||
| 2. How to remove special characters from data.srt | 15.8 KB | ||
| 2. Lecture 29.mp4 | 78.5 MB | ||
| 2. Lecture 29.srt | 14.1 KB | ||
| 2. Lecture 32.mp4 | 68.6 MB | ||
| 2. Lecture 32.srt | 13.8 KB | ||
| 2. Lecture 38.mp4 | 106.6 MB | ||
| 2. Lecture 38.srt | 17.9 KB | ||
| 2. Lets Understand more about data !.mp4 | 71.9 MB | ||
| 2. Lets Understand more about data !.srt | 13.5 KB | ||
| 2. String Matching using fuzz Partial ratio.mp4 | 80.2 MB | ||
| 2. String Matching using fuzz Partial ratio.srt | 13.6 KB | ||
| 2. Utilize QnA Section , (Golden Opportunity ).mp4 | 9.4 MB | ||
| 2. Utilize QnA Section , (Golden Opportunity ).srt | 2.6 KB | ||
| 2. What are stopwords & how to remove it from data. .mp4 | 124.2 MB | ||
| 2. What are stopwords & how to remove it from data. .srt | 18.6 KB | ||
| 3. Checking for Duplicates questions in our data !.mp4 | 44.6 MB | ||
| 3. Checking for Duplicates questions in our data !.srt | 8.7 KB | ||
| 3. Finding common_word_count_min & common_word_count_max.mp4 | 112.4 MB | ||
| 3. Finding common_word_count_min & common_word_count_max.srt | 18.4 KB | ||
| 3. How to Find common words in 2 strings...mp4 | 102.9 MB | ||
| 3. How to Find common words in 2 strings...srt | 16.9 KB | ||
| 3. How to follow this course - must watch !.mp4 | 15.9 MB | ||
| 3. How to follow this course - must watch !.srt | 3.7 KB | ||
| 3. Lecture 30.mp4 | 108 MB | ||
| 3. Lecture 30.srt | 17.6 KB | ||
| 3. Lecture 33.mp4 | 87.4 MB | ||
| 3. Lecture 33.srt | 15.3 KB | ||
| 3. Lecture 39.mp4 | 73.2 MB | ||
| 3. Lecture 39.srt | 12.4 KB | ||
| 3. Lets Remove Extra White-spaces in data...mp4 | 45.7 MB | ||
| 3. Lets Remove Extra White-spaces in data...srt | 6.7 KB | ||
| 3. String Matching using Token Sort ratio.mp4 | 65.8 MB | ||
| 3. String Matching using Token Sort ratio.srt | 11.3 KB | ||
| 4. Finding occurrences of each question...mp4 | 53.6 MB | ||
| 4. Finding occurrences of each question...srt | 10.4 KB | ||
| 4. How to Find Total Words in 2 strings...mp4 | 72.4 MB | ||
| 4. How to Find Total Words in 2 strings...srt | 10.6 KB | ||
| 4. Introduction to Jupyter Notebook.mp4 | 43.4 MB | ||
| 4. Introduction to Jupyter Notebook.srt | 8.1 KB | ||
| 4. Lecture 25.mp4 | 102.3 MB | ||
| 4. Lecture 25.srt | 16.7 KB | ||
| 4. Lecture 34.mp4 | 123.4 MB | ||
| 4. Lecture 34.srt | 18 KB | ||
| 4. String Matching using Token set ratio..mp4 | 52.3 MB | ||
| 4. String Matching using Token set ratio..srt | 8.5 KB | ||
| 5. Lecture 26.mp4 | 64.6 MB | ||
| 5. Lecture 26.srt | 10.2 KB | ||
| 5. Lecture 35.mp4 | 125 MB | ||
| 5. Lecture 35.srt | 20.9 KB | ||
| 5. Lets Create some features using basic featurization...mp4 | 45.8 MB | ||
| 5. Lets Create some features using basic featurization...srt | 7.7 KB | ||
| 5. Lets perform Text Analysis...mp4 | 94.7 MB | ||
| 5. Lets perform Text Analysis...srt | 14.5 KB | ||
| 5. String Matching using Longest sub-string...mp4 | 109.5 MB | ||
| 5. String Matching using Longest sub-string...srt | 18.8 KB | ||
| 6. Analysing distribution of data ( Basic EDA).mp4 | 96 MB | ||
| 6. Analysing distribution of data ( Basic EDA).srt | 15.4 KB | ||
| 6. Lecture 27.mp4 | 63.8 MB | ||
| 6. Lecture 27.srt | 11.3 KB | ||
| 6. Lets perform Semantic Analysis...mp4 | 78.6 MB | ||
| 6. Lets perform Semantic Analysis...srt | 12.4 KB | ||
| 7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4 | 131.5 MB | ||
| 7. Finding Boxplot & Violinplot of data ( Basic EDA).srt | 18.8 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 89 total files | |||
Data science, Analytics & AI Real world Project using Python
https://DevCourseWeb.com
Last Update: 3/2022
Duration: 6h 53m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.39 GB
Genre: eLearning | Language: English
Master AI , Data Analytics , Machine Learning & Data Sceince by solving Real-Life Analytics Problems using Python !
What you'll learn:
Go from zero to hero in Entire Pipeline of AI/Data Science/Machine learning from Data Collection to building a Machine Learning Model
Various Feature Engineering Techniques & how to apply it in Real-World
How to Approach a problem in Real-world..
Solve any problem in your business, job or in real-time with powerful Data Sceince & Machine Learning algorithms
Case studies
Requirements
Basic knowledge of Python programming is recommended.
Description
This is the first course that gives hands-on Data Science, Analytics & AI Real world Projects using Python..
This is a practical course, the course I wish I had when I first started learning Data Science.
It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it has Practical Case Studies covering so many common business problems faced by Data Scientists in the real world.
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2.5 GB | freecoursewb | 4 days | 9 | 8 |
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Udemy - Data Structures and Algorithms and LeetCode - CPP and Python Posted by
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