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[FreeCourseSite.com] Udemy - Data science ,Analytics & AI Real world Project using Python
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文档列表
4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4
137.9 MB
9. NLP (Natural Language Processing )/5. Lecture 35.mp4
131.1 MB
7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4
130.2 MB
9. NLP (Natural Language Processing )/4. Lecture 34.mp4
129.4 MB
7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4
117.9 MB
5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4
116.2 MB
10. Machine Learning/1. Lecture 36.mp4
115.0 MB
6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4
114.8 MB
8. Advance Data Analysis/1. Lecture 28.mp4
114.3 MB
8. Advance Data Analysis/3. Lecture 30.mp4
113.2 MB
11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4
111.8 MB
4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4
107.9 MB
7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4
107.3 MB
7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp4
104.4 MB
4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp4
100.6 MB
3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp4
99.3 MB
5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp4
97.1 MB
11. Hypertuning of Machine Learning Model/1. Lecture 37.mp4
92.5 MB
9. NLP (Natural Language Processing )/3. Lecture 33.mp4
91.7 MB
4. Feature Extraction for Data Science/2. Finding Length of questions.mp4
90.7 MB
9. NLP (Natural Language Processing )/1. Lecture 31.mp4
89.9 MB
6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.mp4
84.1 MB
3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...mp4
82.4 MB
8. Advance Data Analysis/2. Lecture 29.mp4
82.3 MB
6. String matching in MLNLP/1. String Matching using fuzz ratio.mp4
79.8 MB
11. Hypertuning of Machine Learning Model/3. Lecture 39.mp4
76.8 MB
4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...mp4
75.9 MB
3. Data Analysis & Basic stats/2. Lets Understand more about data !.mp4
75.4 MB
9. NLP (Natural Language Processing )/2. Lecture 32.mp4
72.0 MB
6. String matching in MLNLP/3. String Matching using Token Sort ratio.mp4
69.0 MB
7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.mp4
67.7 MB
7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.mp4
66.9 MB
3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...mp4
65.4 MB
4. Feature Extraction for Data Science/1. find frequency of questions-ID.mp4
65.2 MB
3. Data Analysis & Basic stats/4. Finding occurrences of each question...mp4
56.2 MB
6. String matching in MLNLP/4. String Matching using Token set ratio..mp4
54.8 MB
4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...mp4
48.0 MB
5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...mp4
47.9 MB
3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.mp4
46.8 MB
1. Welcome to this course !/4. Introduction to Jupyter Notebook.mp4
45.5 MB
1. Welcome to this course !/1. Introduction to course & its benefits.mp4
44.3 MB
1. Welcome to this course !/3. How to follow this course - must watch !.mp4
16.7 MB
1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).mp4
9.8 MB
9. NLP (Natural Language Processing )/5. Lecture 35.srt
21.4 kB
10. Machine Learning/1. Lecture 36.srt
21.1 kB
6. String matching in MLNLP/5. String Matching using Longest sub-string...srt
19.3 kB
4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).srt
19.2 kB
7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].srt
19.2 kB
7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .srt
19.0 kB
7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.srt
18.8 kB
8. Advance Data Analysis/1. Lecture 28.srt
18.8 kB
9. NLP (Natural Language Processing )/4. Lecture 34.srt
18.4 kB
11. Hypertuning of Machine Learning Model/2. Lecture 38.srt
18.3 kB
9. NLP (Natural Language Processing )/1. Lecture 31.srt
18.1 kB
8. Advance Data Analysis/3. Lecture 30.srt
18.0 kB
5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.srt
17.9 kB
4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...srt
17.3 kB
7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.srt
17.1 kB
11. Hypertuning of Machine Learning Model/1. Lecture 37.srt
16.2 kB
5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.srt
16.2 kB
4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).srt
15.8 kB
9. NLP (Natural Language Processing )/3. Lecture 33.srt
15.6 kB
3. Data Analysis & Basic stats/5. Lets perform Text Analysis...srt
14.9 kB
6. String matching in MLNLP/1. String Matching using fuzz ratio.srt
14.8 kB
8. Advance Data Analysis/2. Lecture 29.srt
14.4 kB
9. NLP (Natural Language Processing )/2. Lecture 32.srt
14.2 kB
6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.srt
13.9 kB
3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...srt
13.8 kB
3. Data Analysis & Basic stats/2. Lets Understand more about data !.srt
13.8 kB
4. Feature Extraction for Data Science/2. Finding Length of questions.srt
13.3 kB
11. Hypertuning of Machine Learning Model/3. Lecture 39.srt
12.7 kB
3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...srt
12.7 kB
7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.srt
11.6 kB
4. Feature Extraction for Data Science/1. find frequency of questions-ID.srt
11.5 kB
6. String matching in MLNLP/3. String Matching using Token Sort ratio.srt
11.5 kB
4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...srt
10.8 kB
3. Data Analysis & Basic stats/4. Finding occurrences of each question...srt
10.7 kB
7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.srt
10.5 kB
3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.srt
8.9 kB
6. String matching in MLNLP/4. String Matching using Token set ratio..srt
8.7 kB
1. Welcome to this course !/4. Introduction to Jupyter Notebook.srt
8.3 kB
4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...srt
7.9 kB
1. Welcome to this course !/1. Introduction to course & its benefits.srt
7.3 kB
5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...srt
6.9 kB
1. Welcome to this course !/3. How to follow this course - must watch !.srt
3.8 kB
1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).srt
2.7 kB
2. Understanding the business problem/1. Datasets & Resources.html
181 Bytes
0. Websites you may like/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.Me].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
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